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ArchitBiswas

FULL-STACK

GENAI / LLM

ENGINEER

I build full-stack web applications, retrieval-augmented generation (RAG) pipelines, and applied machine learning systems using React, Node.js, Python, Spring Boot, and Docker. Open to Software Engineer, Full-Stack Developer, and AI/ML Engineer roles, remote or on-site.

MUMBAI, INDIA · SOFTWARE ENGINEER - FULL-STACK & AI/ML

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01

About

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Archit Biswas, Full-Stack Software Engineer and GenAI/LLM Developer based in Mumbai, India

Full-Stack Ownership

Software Engineer with an M.Sc. in Computer Science (Augmented and Virtual Reality) from Trinity College Dublin and a B.E. in Electronics and Telecommunications from RGIT Mumbai. I work across the full stack, from React and Node.js on the frontend to Spring Boot, REST APIs, and GraphQL on the backend, and I build GenAI and LLM based systems including retrieval-augmented generation (RAG) agents using LangChain and ChromaDB.

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Applied AI & Machine Learning

My applied machine learning work spans XGBoost demand forecasting, NLP pipelines built on Rasa and spaCy, and reinforcement learning research using PPO and Bayesian inference. I containerize and ship everything with Docker and CI/CD, and I care about clean, documented, production-ready systems over one-off scripts.

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Clean Systems Thinking

I like taking a system from a rough idea to something that actually runs in production, whether that's a RAG agent answering questions over a private dataset, a price optimization model, or a full-stack app with real users.

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  • Full-Stack Ownership

    End-to-end delivery across React, Node.js, Express, Spring Boot, and PostgreSQL, from spec to deployed product.

  • Applied AI & Machine Learning

    Hands-on experience building GenAI pipelines, RAG agents, NLP models, and predictive ML systems using LangChain, XGBoost, and Rasa.

  • Clean Systems Thinking

    Docker-based, documentation-first delivery designed for maintainability, not just demos.

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Journey

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Customer Relations Management Associate

Amazon

REMOTE · 2025 — Present

  • — Maintained first-contact resolution above SLA targets across account security and identity verification workflows using structured root-cause analysis and enterprise diagnostic tooling.
  • — Identified transactional anomalies supporting fraud reduction through data governance and regulatory compliance focused analysis.
  • — Achieved zero documentation gaps across compliance reviews through structured SOPs, issue logs, and escalation records aligned with Agile delivery standards.
  • — Reduced cross-tier escalation cycle times through structured problem decomposition and cross-team stakeholder communication.

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M.Sc. in Computer Science, Augmented and Virtual Reality

Trinity College Dublin, Ireland

DUBLIN, IRELAND · 2024 — 2025

  • — Dissertation: Adaptive AI for Dynamic Narrative Games, supervised by Prof. Michael Manzke.
  • — Designed and evaluated five adaptive AI architectures for games, including deep reinforcement learning (PPO) and Bayesian inference.

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B.E. in Electronics and Telecommunications, Honors in AI/ML

MCT's Rajiv Gandhi Institute of Technology, Mumbai

MUMBAI, INDIA · 2020 — 2024

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Front-End Web Development Intern

RoboRise Technologies

REMOTE · Apr 2022 — Jun 2022

  • — Improved web application performance by 25% by building reusable, component-based UI in React, JavaScript, HTML5, and CSS3.
  • — Reduced frontend data rendering latency by 30% by integrating REST and GraphQL APIs for asynchronous client-side data delivery.
  • — Reduced post-deployment defects through Agile sprint cycles and structured peer code review.

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Software Engineering Job Simulation

JPMorganChase, Forage

REMOTE · Mar 2026 — Mar 2026

  • — Integrated Apache Kafka with Spring Boot microservices for event-driven architecture.
  • — Implemented JPA persistence and consumed REST APIs via RestTemplate.
  • — Validated transaction workflows using Maven test suites.

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Data Analytics Job Simulation

Tata iQ, Forage

REMOTE · Mar 2026 — Mar 2026

  • — Performed exploratory data analysis (EDA) using GenAI tools.
  • — Designed a no-code predictive modeling framework for customer delinquency risk.
  • — Formulated an agentic AI-driven collections strategy with ethical AI and regulatory compliance considerations.

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Skills

Technical skills across full-stack development, GenAI/LLM systems, and applied machine learning, listed by category below.

I work with Languages: Python, JavaScript, Java, SQL, TypeScript, C++, C#. Frontend: React, HTML5 / CSS3, Responsive Design. Backend & APIs: Node.js / Express.js, REST APIs / GraphQL, Spring Boot, Microservices Architecture. AI / ML & Data: LLM Integration / RAG / LangChain, Agentic AI / Prompt Engineering, Machine Learning / NLP, Data Analytics / EDA, Apache Kafka. XR & Game Development: Unity3D / XR Toolkit, Unreal Engine. DevOps & Infrastructure: Git, Docker, CI/CD, AWS, S3.

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Projects

Local RAG AI Agent

Fully offline retrieval-augmented generation (RAG) agent built with Ollama, Llama 3.2, LangChain, and ChromaDB, using mxbai-embed-large embeddings for zero-cloud-dependency document analysis. Includes a Pandas-based ETL pipeline and persistent vector storage, fully containerized with Docker for production-ready GenAI deployment.

Python, GenAI, RAG, LangChain

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View Local RAG AI Agent on GitHub

Full-Stack Ride Sharing Application

Full-stack ride-sharing platform with a React frontend and Node.js/Express backend, using a Neon serverless PostgreSQL database and GraphQL integration. Containerized with Docker and deployed via CI/CD for zero-downtime, reproducible production builds.

JavaScript, Full-Stack, PostgreSQL, GraphQL

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View Full-Stack Ride Sharing Application on GitHub

VR Art Gallery Application

Interactive VR environment built in Unity3D with the Unity XR Toolkit as part of coursework at Trinity College Dublin, developed through Agile/SCRUM sprints with structured peer code review.

C#, XR, Unity3D

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View VR Art Gallery Application on GitHub

Retail Price Optimization Engine

Retail pricing model combining XGBoost regression with Prophet demand forecasting to recommend revenue-maximizing price points, achieving an R² of 0.92 on price elasticity modeling across product categories.

Python, Machine Learning, Forecasting

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View Retail Price Optimization Engine on GitHub

NLP-Based Conversational Chatbot

Conversational AI chatbot built with Rasa for NLU and dialogue management, combined with spaCy and NLTK for natural language preprocessing. Achieved 85%+ intent classification accuracy, with findings published in a research paper.

Python, NLP, Chatbot

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View NLP-Based Conversational Chatbot on GitHub

Adaptive AI for Dynamic Narrative Games, Dissertation

Research project evaluating five adaptive AI architectures, heuristic rule-based, fuzzy logic, tabular Q-learning, Bayesian inference, and deep reinforcement learning (PPO), for dynamic narrative adaptation in video games, supervised by Prof. Michael Manzke at Trinity College Dublin.

Python, Reinforcement Learning, Research

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View Adaptive AI for Dynamic Narrative Games, Dissertation on GitHub
View all repositories on GitHub

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Certifications

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Resume

Download the full resume (PDF) for a complete breakdown of my experience across full-stack development, GenAI/LLM engineering, and applied machine learning.

Updated 2026 · PDF · 149 KB

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Let's worktogether

Open to Software Engineer, Full-Stack Developer, and AI/ML Engineer roles, remote or based in Mumbai, India or elsewhere. Also available for freelance work building GenAI agents, RAG pipelines, and automation tools. The fastest way to reach me is by email.

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