I am
Full Stack Developer
Transforming complex data into intelligent solutions through innovative machine learning applications.
Skills
PyTorch
Flask
FastAPI
Amazon Web Services (AWS)
Docker
PostgreSQL
Linux
Python
C
JavaScript
HTML
CSS
Data Structures and Algorithms
Additional Skills
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- LLM Fine Tuning
- RAG
- scikit-learn
- Hugging Face
- Pandas
- NumPy
- Langchain
- MLflow
- DVC
- Streamlit
- CI/CD
- SQL
- ETL Pipelines
- Vector Databases (Chroma)
Experience
Alignerr
Machine Learning Engineer
- Enhanced LLM evaluation precision by 15% through a comprehensive review of a rubric-based scoring framework across six reasoning categories.
- Analyzed over 50 audio files for integration into ASR pipelines.
- Evaluated AI agent responses, identifying failure points such as inference memory and self-coherence, resulting in a 20% improvement in model accuracy.
Jan 2026 – Present
Jadavpur University CMATER Lab
Deep Learning Research Assistant
- Designed and implemented a self-attention mechanism (scaled dot-product) within a pre-trained VGG16, significantly enhancing feature extraction for lung cancer detection from CT scans.
- Developed a hybrid deep learning architecture achieving 99.54% peak accuracy with only 76k trainable parameters and 0.0256 GFLOPs, facilitating edge-device deployment.
- Engineered feature fusion through concatenation and element-wise multiplication of original and attention-modulated maps for refined, context-aware representations.
May 2025 – September 2025
Projects
TailorCV.aiOpen
Python, FastAPI, LLM, AI agents, Amazon Web Services
- Developed an AI web application that optimizes resumes to job descriptions using LLMs and NLP pipelines, improving resume relevance by up to 80%.
- Designed a Python and FastAPI backend with HTML, CSS, and JavaScript for the frontend, dockerized the application, and deployed it on AWS ECS.
- Achieved over 50 users within the first week of launch, demonstrating strong early adoption and real-world impact.
YouTube Sentiment AnalysisOpen
TensorFlow, NLP, AWS EC2, Scikit-learn
- Created an end-to-end YouTube sentiment analysis pipeline processing over 10,000 user comments, enhancing sentiment classification performance through NLP preprocessing techniques.
- Tracked multiple model experiments using MLflow and DVC, enabling reproducible training and systematic comparison of models built with scikit-learn and NLP libraries.
- Deployed the pipeline on AWS using Docker and exposed predictions via Flask REST APIs, facilitating scalable and reproducible inference.
Smart Product PricingOpen
Keras, Hugging Face Transformers, ResNet50, OpenCV
- Developed an NLP and CV pipeline to analyze 150,000 image and text data using transformer-based text encoders and CNN-based image embeddings, integrating them through a fusion neural network for price prediction.
- Implemented data preprocessing techniques, including text cleaning, tokenization, and streaming image feature extraction with ResNet and CLIP representations to manage large datasets.
- Built and fine-tuned models using TensorFlow and scikit-learn, achieving a rank of 142 out of 50,000 participants.
RAG SystemOpen
- Made a production-ready RAG pipeline integrating semantic vector retrieval with LLM generation to produce context-grounded responses.
- Engineered multiple chunking strategies and a scalable ingestion , retrieval , generation flow for efficient semantic search and generation.
- Implemented history-aware and multimodal augmentations, and evaluated retrieval outputs to measure relevance and quality.
Activities & Leadership
Core Member @ Entrepreneurship Cell, Jadavpur University
- Organized national-level events such as E-Summit 2025 and Hult Prize 2025, attracting over 5,000 registrations and 1,000+ attendees.
- Contributed to the establishment of an Incubation Center at Jadavpur University under the Institution’s Innovation Council (IIC).
May 2024 – Present
Coordinator @ Jadavpur University Finance Club
- Led planning and execution of Finspire 2025, a national-level finance event with 1,000+ registrations and 500+ on-ground
- attendees, strengthening the club’s national presence.
- Delivered high-impact trading and investment courses to 100+ students, improving engagement in financial markets