Looking for a job

Amit Chakraborty

@amitchakraborty3

Message

I build fullstack AI applications, conversational systems, and efficient LLM solutions from prototype to deployment.

Bangladesh

Message

What I'm looking for

I'm looking to build across application, infrastructure, and AI/ML domains in an engineering environment, turning ambiguous business problems into deployed technical solutions.

At North South University's Machine Intelligence Lab, I build applied AI systems spanning conversational diagnostics, LLM compression, and retrieval-augmented generation.

I built PANDA with LifeSpring, combining GPT-4.1 and DSM-5-based dialogue trees to reduce ADHD diagnostic screening from several months to 45 minutes. I also developed an LLM Weight Refinement Pruning framework for unstructured and N:M structured sparsity, activation-aware scoring, and SVD decomposition.

Across projects, I've delivered fullstack AI products using Python, FastAPI, Node.js, PostgreSQL, MongoDB, Next.js, and modern LLM tooling, including voice-enabled assistants, RAG chatbots, and study-material generation platforms.

Experience

Work history, roles, and key accomplishments

Current

Research Assistant

Current

Machine Intelligence Lab (MILab), North South University

May 2025 - Present (1 year 4 months)

Built PANDA, a conversational AI system using GPT-4.1 and DSM-5-based dialogue trees, reducing diagnostic screening time by ~75%. Developed LLM Weight Refinement Pruning, a post-training compression framework supporting unstructured and N:M structured sparsity.

Python PyTorch Hugging Face Transformers GPT 4.1 LLM Compression RAG NLP Conversational AI SVD++N:M Sparsity Evaluation

Education

Degrees, certifications, and relevant coursework

North South University

Bachelor of Science, Computer Science and Engineering

2021 - 2025

Grade: 3.26/4.00

Activities and societies: Relevant Coursework: Software Engineering, Machine Learning, Database Systems, Natural Language Processing, Neural Network and Pattern Recognition, Capstone Project (Junior Design (CSE299), Senior Design-1 (CSE499A), Senior Design-2 (CSE499B)

B.Sc. in Computer Science and Engineering from North South University, completed in December 2025 with a CGPA of 3.26/4.00.