S
0%

Suprovo Mallick

AI/ML Developer • GenAI Enthusiast • Problem Solver

GenAI Developer | RAG Specialist

About Me

The Vision

I'm a passionate AI/ML developer from India, currently pursuing Computer Science at KIIT. My journey in AI began with a deep curiosity about how machines can understand and generate human language, evolving into a mission to build intelligent applications that solve real-world problems.

I specialize in leveraging cutting-edge technologies like LangChain, Gemini API, and Retrieval-Augmented Generation (RAG) architectures to create dynamic and responsive solutions. My experience includes designing personalized chatbots, developing intelligent recommendation systems like Aahar AI, and building multilingual translation applications.

Timeline

2023
Began deep dive into ML.
Early 2024
Developed first RAG system.
Jul 2024
Started role at Fed Society.
2025
Advanced LLM Ops Focus.

Experience

Jul 2024 – Present
AI Chatbot & GenAI Developer
Fed Society
  • Built and deployed modular FastAPI backends with session memory and RAG pipelines.
  • Improved response retrieval speed by 30% via embedding optimization.
  • Developed AI-powered wellness system as part of student startup initiative.

Technical Toolkit

Featured Projects

Credentials

Resume Highlights

As a driven AI/ML Developer, I bring a strong foundation in machine learning, deep learning, and generative AI. My expertise spans building intelligent applications, optimizing models, and implementing RAG and Agentic AI architectures.

  • Deployed RAG-based AI assistants and Agentic workflows.
  • Built disease detection systems (EfficientNetV2) and NMT systems (NLLB-200).
  • Proficient in Python, TensorFlow, PyTorch, and vector databases.
  • Experienced in cloud platforms, AWS Bedrock, and containerization (Docker).
Download PDF

Certifications

  • IBM RAG and Agentic AI Professional
    IBM via Coursera • 2026
    Credential
  • AWS Generative AI Applications
    Amazon Web Services • 2026
    Credential
  • Supervised ML: Regression & Classification
    DeepLearning.AI • 2024
  • Career Essentials in Generative AI
    Microsoft + LinkedIn • 2024
  • Google AI Essentials
    Google • 2024

Publications

  • Raahi – Real-Time Public Transport Tracking System
    Conference Paper, Proceedings of 15th Project Innovation Contest (PIC-2026), Satellite Event of ICDCIT-2026, KIIT
    • Designed distributed real-time tracking architecture optimized for low-network environments.
    • Selected among top 40 out of 160 submissions after peer review.

Initiate Protocol

Let's Connect

Interested in collaborating on AI projects, building generative models, or have a question? The nexus is always open.