Our pipeline

Amit Kumar Jaiswal

Amit Kumar Jaiswal

LINKEDIN VERIFIEDOPEN TO WORKLINKEDIN CREATOR

AI/ML engineer

Mauritius 📧 amitjaiswallpu@yahoo.in (web) LinkedIn · 154 followers · on LinkedIn since 2018

About

web sources + resume
SUMMARY
AI/ML engineer and self-described PhD Candidate (AI) affiliated with Moscow Institute of Physics and Technology (MIPT), working on RAG/GenAI systems since 2021 and mentoring undergraduates in AI & cybersecurity. Also freelances building production RAG/LangChain pipelines and LLM assistants. linkedin.com 1self-evalmedium proof

Copied from LinkedIn — not independently verified.

CURRENT ROLE
At MIPT, he holds part-time roles: Applied LLM Research Scientist since Oct 2021 focusing on secure RAG and GenAI systems, and Academic Mentor (AI & Cybersecurity) since Oct 2023 guiding undergraduates on Neural Networks, NLP, Reinforcement Learning, and Python (PyTorch/TensorFlow) project work. linkedin.com 1self-evalmedium proof

Copied from LinkedIn — not independently verified.

65%
Confirmed
15 / 15 self-published
4
Roles
Career arc entries
0
Awards
Formal honours
0
Press features
Major-outlet coverage
3
Quotes
Verbatim from interviews
1
Sources
1 distinct domains

Report

professional-data verification
Collected
2026-05-14
Purpose
professional-data verification
Approx. age
~27 years
Location
Mauritius
Total experience
≈ 5+ years
Languages
English (Native or bilingual proficiency) · Hindi (Native or bilingual proficiency)
linkedin.com 1self-eval

Hiring assessment

6 role-fits · 4 risks

LLM judgment on best-fit roles, bounded by available evidence.

BEST FIT
LLM Engineer

Also a strong fit

AI/ML Engineer (GenAI/RAG)Machine Learning EngineerResearch Engineer (NLP/LLMs)AI Solutions ArchitectAssistant Lecturer in AI

Since Oct 2021 he has focused on RAG and GenAI at MIPT, and since Jan 2023 has delivered freelance RAG/LLM solutions using FAISS, LangChain/LangGraph, FastAPI, and Docker. His part-time Academic Mentor role at MIPT (since Oct 2023) indicates capability to teach foundational ML/AI topics and guide student projects.

Risks & gaps

All roles and achievements are self-reported on LinkedIn with no independent third-party corroboration.
self-reported linkedin.com 1self-eval
Education claims ("MSc/BCA", "PhD Candidate (AI)") lack institution names or dates in the evidence provided.
self-reported linkedin.com 1self-eval
Years-of-experience discrepancy risk: profile says "5+ years" but listed roles start Oct 2021 (~4.6 years to present).
self-reported linkedin.com 1self-eval
BranchX contract entry is short (7 months) and has an incomplete description.
self-reported linkedin.com 1self-eval

Work Experience

5 confirmations

Copied from LinkedIn — not independently verified.

M
Moscow Institute of Physics and Technology (State University) (MIPT)Verified
Academic Mentor (AI & Cybersecurity)
Oct 2023 – Present
Mentors undergraduates on Neural Networks, NLP, and RL; reviews Python projects in PyTorch/TensorFlow; evaluates metrics like Accuracy and F1-score.
Part-timeOn-siteMentoringTechnical Communication
EW1 colleague confirmed
linkedin.com 1self-eval medium proof
F
Freelance | Self-EmployedVerified
Freelance Agentic AI Engineer
Jan 2023 – Present
Designs RAG pipelines with FAISS and embeddings; fine-tunes LLMs for cybersecurity and enterprise knowledge; deploys via FastAPI and Docker.
FreelanceRemoteMicrosoft Visual Studio Code and Spec-Driven Development
SGJK3 colleagues confirmed
linkedin.com 1self-eval medium proof
M
Moscow Institute of Physics and Technology (State University) - MIPT, PhystechNot verified
Applied LLM Research Scientist (Secure RAG & GenAI Systems)
Oct 2021 – Present
Focuses on Retrieval-Augmented Generation architectures; built production-ready AI pipelines using FastAPI, Docker, and REST APIs.
Part-timeHybridAdversarial ResiliencePython (Programming Language)
No colleagues have confirmed yet
linkedin.com 1self-eval medium proof
B
BranchXVerified
AI Engineer / Senior AI Developer Consultant (Contract)
Apr 2025 – Oct 2025
ContractRemoteRetrieval-Augmented Generation (RAG)Workflow Automation
BH1 colleague confirmed
linkedin.com 1self-eval medium proof

Photo gallery

Card images from confirmed sources where the subject is featured. Click any tile to open the source page. Not face- verified — some thumbnails may be article hero shots that show another person.

linkedin.comlinkedin.com

Digital channels

1 link

Subject-owned online presence aggregated from LinkedIn, resume, and personal-signal mentions.

LinkedIn posts

52 posts · 2020-12-10 → 2026-04-10 · 30 reactions · 6 comments — overview, then top by engagement.

The author primarily posts about certifications, courses and hands‑on projects in AI/Generative AI, machine learning, data science and software development tools (Git/GitHub/JIRA), with occasional posts on AI agents, LangGraph/LangChain, geospatial data sharing and cybersecurity/job searches. There are 52 posts spanning 2020-12-10 to 2026-04-10, with a clear concentration of certification and project updates in late 2025 through early 2026 and more intermittent activity in earlier years. Engagement is modest overall — 30 total reactions and 6 comments; most individual posts receive 0–1 reactions, a few reach 3–4 reactions, and comments are rare.

Autonomous multi-agent researchGenerative AI and LLMsAdvanced prompt engineeringData analytics and insightsCybersecurity legal issuesAI engineering career development
2025-11-26 · 4♥ · 1💬View on LinkedIn ↗
🚀 What happens when AI doesn’t just answer questions — but runs the entire research workflow end-to-end? I’m excited to share my project for the Google AI Hackathon: Next-Gen AI Research Assistant — a fully autonomous multi-agent pipeline that turns any topic into a structured, c…
2021-02-28 · 1♥ · 2💬View on LinkedIn ↗
Thank you to Clifford Chance for offering students the chance to complete their 'Cyber Security' virtual internship programme through Forage ! During this experience, I have learnt how to: - Practical Guidance on an ICO Down Raid - Access the legal situation after the data leak a…
2025-11-19 · 3♥View on LinkedIn ↗
🚀 Completed the Google + Kaggle 5-Day GenAI Intensive — and it completely reshaped how I think about AI. This wasn’t passive learning — it was building, experimenting, and thinking like an AI engineer of the future. Over 5 days, I went from LLM fundamentals ➡️ to designing AI age…
2025-02-17 · 3♥View on LinkedIn ↗
I just completed Quantium's Data Analytics on Forage. In the simulation I: Completed a job simulation focused on Data Analytics and Commercial Insights for the data science team. Developed expertise in data preparation and customer analytics, utilizing transaction datasets to ext…
2026-02-17 · 2♥View on LinkedIn ↗
Hi everyone! I’m seeking a new role and would appreciate your support. If you hear of any opportunities or just want to catch up, please send me a message or comment below. I’d love to reconnect. #OpenToWork About me & what I’m looking for: 💼 I’m looking for AI Engineer, Generati…
AI detector — avg across 8 posts43% · moderate likelihood

Notable quotes

“I am an AI/ML Engineer with 5+ years of professional experience, who loves programming, building things that work, and solving real-world problems with intelligent systems.”
LinkedIn About section · linkedin.com 1self-eval
“My focus is on creating practical, production-ready AI — from Retrieval-Augmented Generation (RAG) pipelines and LangChain/LangGraph workflows to LLM-powered assistants that make information smarter and easier to use.”
LinkedIn About section · linkedin.com 1self-eval
“I enjoy turning unstructured data—text, video, logs—into searchable, reliable knowledge using vector databases and generative AI.”
LinkedIn About section · linkedin.com 1self-eval

Inbound mentions

1 mention

Verbatim quotes about the subject from third-party sources.

General mentions

1 of 1 unsigned mentions (no specific author attributed).

Amit Kumar Jaiswal-Resume.pdf
linkedin.com
linkedin.com 1self-eval

Beyond the resume

Copied from LinkedIn — not independently verified.

  • Public contact email listed: amitjaiswallpu@yahoo.in. linkedin.com 1self-evalmedium proof

Public footprint

2 items across 2 venues

Where the subject's content actually lives, by venue type.

💬Social posts1
  • LinkedIn profile
    Professional profile; headline notes "PhD Candidate (AI) | AI/ML Engineer | RAG, GenAI & LangChain specialist."
🎓Academic1

Sources

1 cited
  1. 1
    LinkedIn (Apify) — Amit Kumar Jaiswal
    linkedin.com
    linkedin_apifyself_reported

Resume + LinkedIn (verbatim, LLM-organized)

Amit Kumar Jaiswal

PhD Candidate (AI) | AI/ML Engineer | RAG, GenAI & LangChain specialist. Bridges Research & Production. MSc/BCA. Expert in Machine Learning, LLMs & Python. Immediate Joiner for AI Developer or Assistant Lecturer roles.

amitjaiswallpu@yahoo.in · /envel⌢peameejais0999@gmail.com · /whatsapp+917042387265 · /githubGitHub · https://linkedin.com/in/amit-kumar-jaiswal-5bbb59156 · /linkedinLinkedIn · /telegram@ameejais · Bihar, India|English & Hindi (Native), Russian (A2) · Mauritius

Bio

AI/ML Engineer specializing inLLM application development, RAG systems, multi-agent GenAI workflows, and LLM security. Experienced in building production-grade AI systems using LangChain, LangGraph, vector databases, and modern open-source LLMs. Strong background in applied machine learning, multimodal intelligence, and adversarial evaluation of LLM pipelines. Passionate about designing scalable, secure, explainable GenAI systems for real-world applications.

Experience

Academic Mentor (AI & Cybersecurity) · Moscow Institute of Physics and Technology (State University) (MIPT)
Oct 2023 - Present · 2 yrs 8 mos · Moscow City, Russia
  • Technical Knowledge Transfer: Simplified high-level AI concepts—including Neural Networks, NLP, and Reinforcement Learning—for undergraduate students, bridging the gap between mathematical theory and practical implementation.
  • Code Review & Project Guidance: Mentored junior students in Python (PyTorch/TensorFlow) environments, guiding the debugging and optimization of ML models for final-year capstone projects.
  • Research Supervision: Directed mentees in performing literature reviews, ensuring academic rigor and proper citation of state-of-the-art (SOTA) methodologies.
  • Analytical Assessment: Evaluated student-led AI experiments, providing feedback on data preprocessing, model selection, and performance metrics (Accuracy, F1-score, etc.).
Freelance Agentic AI Engineer · Freelance | Self-Employed
Jan 2023 - Present · 3 yrs 5 mos · Remote
  • Delivering custom LLM solutions, RAG pipelines, and secure AI systems for clients across cybersecurity, automation, and intelligent assistant applications. I specialize in designing production-ready AI workflows that integrate seamlessly into client platforms and deliver measurable results.
  • Key Highlights (Freelancer Version)
  • Build end-to-end RAG pipelines with embeddings, FAISS indexing, and context-aware retrieval.
  • Fine-tune LLMs for specialized domains, including cybersecurity intelligence and enterprise knowledge.
  • Develop multilingual AI assistants and voice-based emotion recognition applications.
  • Deploy scalable AI pipelines using FastAPI, Docker, REST APIs, and automation workflows.
  • Ensure model reliability and security, including prompt injection mitigation and robust AI operations.
  • Technical Expertise
  • Python | PyTorch | TensorFlow | Hugging Face | LangChain | FAISS | FastAPI | Docker | REST APIs | OpenAI API | Cybersecurity AI | Production-Ready Pipelines
Applied LLM Research Scientist (Secure RAG & GenAI Systems) · Moscow Institute of Physics and Technology (State University) - MIPT, Phystech
Oct 2021 - Present · 4 yrs 8 mos · Moscow City, Russia
  • Specializing in Retrieval-Augmented Generation (RAG) architectures and Generative AI, I build scalable, secure LLM systems with applications in cybersecurity, automation, and intelligent assistants.
  • Key Highlights:
  • Designed end-to-end RAG pipelines integrating embeddings, FAISS indexing, retrieval, and generation.
  • Fine-tuned LLMs for domain-specific knowledge and cybersecurity intelligence tasks.
  • Developed multilingual LLM assistants and voice-based emotion recognition models.
  • Built production-ready AI pipelines using FastAPI, Docker, REST APIs, and automated workflows.
  • Ensured model reliability and security, including prompt injection mitigation and adversarial resilience.
  • Technical Expertise:
  • Python | PyTorch | TensorFlow | Hugging Face | LangChain | FAISS | FastAPI | Docker | REST APIs | OpenAI API | Cybersecurity Applications | Secure AI Pipelines
AI Engineer / Senior AI Developer Consultant (Contract) · BranchX
Apr 2025 - Oct 2025 · 7 mos · India
  • Worked as a contract AI consultant within a fintech startup, delivering production-ready generative AI solutions aligned with active product initiatives. Focused on building reliable, scalable AI pipelines and integrating advanced LLM-based workflows into business processes.
  • Responsibilities & Key Deliverables:
  • Designed and implemented a Retrieval-Augmented Generation (RAG) knowledge assistant, including document ingestion, chunking strategy, embedding generation, and vector search integration.
  • Improved answer reliability by refining retrieval logic (semantic + keyword search) and introducing structured prompt templates for consistent LLM outputs.
  • Developed agentic AI workflows to automate multi-step internal processes, combining LLM reasoning with API integrations and rule-based orchestration.
  • Fine-tuned open-source language models (LoRA/PEFT) on curated domain-specific datasets to improve contextual understanding for financial applications.
  • Built and deployed REST APIs (FastAPI) for model inference and retrieval services, ensuring stable performance across staging and production environments.
  • Conducted iterative prompt testing, output evaluation, and performance tuning to enhance response consistency and reduce failure cases.
  • Collaborated with product and backend teams to translate evolving requirements into deployable AI components within defined sprint cycles.
  • Tech Stack
  • Python, FastAPI, Transformers, LangChain, FAISS, Vector Databases, Docker, LoRA/PEFT, REST APIs, Agentic AI Workflows
  • Impact
  • Delivered functional, production-aligned AI components over a 7-month engagement, focusing on reliability, measurable improvement, and practical business impact, rather than experimental prototypes.
Virtual Cybersecurity internship · SISTMR Australia
Feb 2022 - Mar 2022 · 2 mos · Remote
  • Installed and configured Oracle VirtualBox and Kali Linux for hands-on security labs.
  • Performed penetration testing exercises: brute-force test on a Bitnami WordPress instance to understand authentication weaknesses.
  • Conducted Wi-Fi security assessments and password recovery techniques (software-only).
  • Used Wireshark for network traffic analysis and password sniffing demonstrations.
  • Practiced session hijacking with Ettercap and built reverse TCP shells using Metasploit to learn attack/defense tradeoffs.
  • Certificate: Certificate of Completion

Education

Doctor of Philosophy (PhD) in AI & Cybersecurity · Moscow Institute of Physics and Technology (MIPT), Russia
Oct 2023 – Aug 2026 (Expected)
Master’s in Computer Science (Cybersecurity) · Moscow Institute of Physics and Technology (MIPT), Russia
Oct 2021 – Jul 2023
  • GPA: 5/5
Bachelor in Computer Applications · Lovely Professional University, India
2015 – 2018
  • GPA: 4/5

CORE TECHNICAL SKILLS

LLM & Generative AI:Llama 3.x, Mistral, Gemini, DeepSeek, Phi 3, Prompt Engineering, Multi-Agent Systems,

LLM Tool-Use

RAG & Vector Search:LangChain, LangGraph, F AISS, Chroma, Milvus, Hybrid Retrieval, Cross-Encoder Reranking,

Embeddings, Memory-Augmented Retrieval

Machine Learning:Speech Models, Emotion Recognition, Model Evaluation

Engineering:Python, FastAPI, Docker, Git/GitHub, Linux, Github Copilot

Cybersecurity (AI-Focused):Adversarial Prompt Injection, Unicode Obfuscation Analysis, Threat Modeling, Anomaly

Detection, Penetration Testing

Research Skills:Experiment Design, Hypothesis Testing, Data Analysis, Academic Writing, Reproducible Research,

Literature Review

Certifications

LFQ101: Fundamentals of Quantum Computing · The Linux Foundation
Issued Apr 2026
AI for Product Management · Pendo.io
Issued Apr 2026

CONFERENCE PRESENTATIONS & AWARDS

  • 1st Place Award– International Youth Scientific Conference “AI Technologies in Science and Education”, MSU, 2024Presented novel cumulative entropy method for IoT DDoS detection.
  • Speaker– En&T-2025 Conference, MIPTPresented large-scale benchmarking of RAG systems under homoglyph & emoji-based adversarial attacks.

Languages

English (BILINGUAL)|Hindi (Native)|Russian (A2)

Projects

Next-Gen AI Research Assistant: Multi-Agent Pipeline Built with Gemini | Google hackathon Capston Project · Freelance | Self-Employed
  • Excited to share my Kaggle Agents Intensive Capstone Project!
  • I built a Next-Gen AI Research Assistant — a fully autonomous, multi-agent pipeline powered by Gemini and Google ADK that converts any query into a rigorous, citation-backed research report in under a minute.
  • How it works:
  • Breaks topics into subtopics
  • Conducts grounded web research via Google Search
  • Iteratively drafts, reviews, and refines content
  • Produces a publication-ready report with structured sections, analysis, and citations
  • Key Highlights:
  • Multi-agent system with specialized roles (Research Agent, Writer, Reviewers, Editor)
  • Drafting loop ensures clarity, completeness, and accuracy
  • Tool-grounded research reduces hallucinations
  • Entire pipeline executes in ~55 seconds
  • Tech Stack:
  • Gemini 2.5 Flash Lite for fast reasoning
  • Google ADK for orchestrating agents
  • Python & Kaggle for reproducibility
  • Google Search tool for credible sources
  • This system essentially replicates a research team, automating planning, research, writing, reviewing, and final editing—helping students, professionals, and enterprises accelerate high-quality research.
  • 📺 Demo Video: Next-Gen AI Research Assistant (https://www.kaggle.com/competitions/agents-intensive-capstone-project/writeups/next-gen-ai-research-assistant-multi-agent-pipeli)
Multilingual YouTube Video RAG System with LangGraph & LangChain
  • Engineered an advanced Retrieval-Augmented Generation (RAG) pipeline capable of transforming YouTube videos into intelligent, queryable knowledge systems.
  • The system fetches multilingual transcripts, processes them through LangChain and LangGraph, embeds them using HuggingFace models, and stores representations in Chroma vector databases for semantic retrieval and contextual reasoning.
  • Powered by Llama 3.1 via Ollama, the pipeline performs cross-encoder reranking, contextual answer generation, and multi-language summarization — all deployed as a modular, reproducible AI workflow.
  • Key Features:
  • Automated multilingual transcript extraction using YouTube APIs (supports 10+ languages).
  • Intelligent document chunking, deduplication, and embedding for RAG efficiency.
  • Integrated cross-encoder reranking for high-precision document relevance.
  • Context-aware LLM-based answering and timestamp-anchored responses.
  • Full LangGraph orchestration for dynamic routing between summarization and Q&A modes.
  • Production-grade, Dockerized FastAPI backend architecture.
  • Achievements:
  • Reduced hallucination rate by 40% via hybrid RAG + reranking strategy.
  • Achieved seamless multilingual retrieval and summarization for English, Hindi, Russian, and Arabic videos.
  • Built a scalable RAG workflow ready for enterprise deployment or API integration.
MIPT Institutional Assistant (Vector Search + LLM)
  • Built document ingestion pipelines for PDFs, logs, and unstructured institutional data.
  • Delivered via Dockerized FastAPI microservice.

Publications (Published)

Adaptive Cumulative Entropy Threshold for IoT DDoS Detection(Cybersecurity Issues Journal, 2025)

Statistical vs Deep Learning Approaches for Anomaly Detection(IJCSIS, 2024)