Jishnu Saha

About

Experience

Projects

Skills

Certificates

Education

Contact

Blog

About

Experience

Projects

Skills

Certificates

Education

Contact

Blog

About Me

AI Engineer — RAG, LLM Agents & Full-Stack Product Engineering

AI engineer with 6+ years building and shipping production software. I design LLM-powered systems end to end — RAG pipelines with hybrid retrieval and re-ranking, agentic workflows on LangGraph, and the chunking, caching, and evaluation layers that keep them reliable in production — on top of six years of Python data work: scraping, OCR extraction, and ETL pipelines feeding structured stores. Full-stack Django/React foundation and AWS architecture, so I can take a feature from schema design through deployment instead of handing it off at the API boundary.

Download CV

My Experience

Experienced IT software engineer with over 5 years of diverse industry experience, specializing in web app development and AWS DevOps.

Software Engineer (Remote)

Dualflow, San Francisco.

Sep 2025 - Present

Contributing full-stack development of an AI-powered career learning & job-readiness platform using Django and Next.js.
Built the platform's voice-based AI mock interview feature — real-time speech-to-text over JWT-authenticated WebSockets (Django Channels + Google STT) and resume-tailored interview generation and scoring through async Celery tasks over LangGraph agents.
Driving product planning and architecture decisions for core platform features, contributing directly to both roadmap and codebase.

Software Engineer (Remote)

Remotedevs.com, Lithuania.

June 2025 - Sept 2025

Built the frontend foundation of a global ed-tech platform empowering parents through expert-led classes and coaching tools, using Next.js.

Software Engineer (Remote)

Graaho Technologies, Dhaka.

Feb 2020 - June 2025

KhaoDao Chatbot: Built a natural-language order-placement chatbot on Facebook Messenger (OpenAI, Python, DynamoDB, AWS Lambda) that let non-technical users complete orders conversationally.
KhaoDao Backend: Built and maintained scalable backend services using Python, Django, AWS Lambda, and PostgreSQL, adding new features while sustaining high system performance.
KhaoDao Frontend: Developed a device-responsive food ordering web platform in ReactJS that improved customer engagement.Live Demo
ZDSL Property Management System: Led end-to-end development of a full property tracking, sales, and account management system using EC2, Django, ReactJS, and PostgreSQL.
AlgoRec Frontend: Delivered the frontend for a recommendation engine platform using ReactJS.Live
Data Pipeline Automation: Automated the KhaoDao restaurant & menu data entry pipeline in Python, removing manual intervention during bulk restaurant onboarding.
Order Automation Bot: Built a Selenium-based bot to automate order placement across multiple third-party online systems.

Software Engineer (Contract, via Graaho)

Renforce, Sydney, Australia.

Oct 2021 – Jan 2023

Built and operated Python ETL pipelines extracting structured records from regulatory websites (Selenium, BeautifulSoup4) — scheduled extraction, normalization, and loading into a queryable store for downstream analysis.
Built the Renforce website using ReactJS, automating internal daily task workflows.

Software Engineer (Remote - Contract)

Fly No Borders, Dhaka.

Oct 2019 – Jan 2020

Developed a flight fare comparison and booking engine using Python, Selenium, and BeautifulSoup4.

My Projects

Here are some of my projects

Codebase Research Agent

AI-powered agent that automatically researches GitHub repositories and answers implementation-specific questions by exploring source code.

Tech Used:Python, Django, Django REST Framework, LangGraph, LangChain, OpenAI, PostgreSQL, Ripgrep, Git

Designed and developed an autonomous codebase research agent capable of understanding and navigating unfamiliar repositories.
Built a LangGraph-based multi-step workflow for repository cloning, indexing, planning, code exploration, evaluation, and answer synthesis.
Implemented repository mapping to create lightweight codebase summaries without loading entire projects into LLM context.
Developed an iterative search-and-evaluate loop that discovers relevant symbols, extracts code chunks, and dynamically generates new research paths.
Integrated AST-based code extraction for Python files to retrieve the smallest meaningful code regions around search matches.
Implemented repository caching and metadata persistence using PostgreSQL to avoid redundant cloning and indexing operations.
Generated evidence-based technical explanations with file and line-level citations to help engineers understand complex code flows.

GitHub Demo

AskMyPDF

Full-stack RAG application that lets users upload a PDF and hold a natural-language conversation with it, with answers grounded strictly in the document and cited by page.

Tech Used:Python, Django, Django REST Framework, LangChain, OpenAI, pgvector, PostgreSQL, HuggingFace Transformers, Docker

Designed and built a full-stack RAG pipeline that extracts, chunks, and embeds PDF content into a vector database for natural-language Q&A.
Implemented a smart ingestion engine that hashes chunks via SHA-256, so re-uploaded PDFs skip re-embedding unchanged sections and reuse stored vectors, cutting API costs and latency.
Built conversational query rewriting to resolve follow-up questions into standalone retrieval queries, improving vector search accuracy on multi-turn chats.
Integrated cross-encoder reranking (HuggingFace ms-marco-MiniLM-L-6-v2) to filter and reorder retrieved chunks by true relevance before generation.
Added a token-budget guard that trims chat history dynamically to keep prompts within the LLM's context window while preserving retrieved context.
Implemented inline, page-level citations so every answer traces back to the exact PDF page it was drawn from.
Exposed all chat mutations through a Django REST Framework API layer, with real-time streaming responses and markdown-rendered answers in the UI.

GitHub

My Skills

I am skilled in backend, frontend, and AI/LLM engineering, backed by AWS-certified cloud infrastructure experience

Programming Languages

Python, JavaScript, TypeScript

Frameworks & Libraries

Django, Django REST Framework, ReactJS, NextJS, Tailwind CSS

AI & LLM

LangChain, LangGraph, OpenAI, HuggingFace Transformers, RAG Pipelines, AI Agents, Prompt Engineering

Cloud & DevOps

AWS (Lambda, EC2, DynamoDB) — AWS Solutions Architect – Associate Certified, Docker

Databases

PostgreSQL, pgvector, DynamoDB

Web Automation/Scraping

Selenium, beautifulsoup4

Version Control

Git

My Certificates

I have obtained multiple certificates in technical skills, professional development, and industry-specific areas, showcasing my dedication to continuous learning and expertise.