TailorCV.ai
Developed an AI web application that optimizes resumes to job descriptions using LLMs and NLP pipelines, improving resume relevance by up to 80%.
Who Am I?
Available for work
2+ Roles
36/F Sitalatala Lane, Kolkata, 700011
I'm Shubham Sarkar, a detail-oriented developer passionate about leveraging machine learning and AI technologies. With a strong foundation in deep learning and natural language processing, I thrive on collaborating with teams to create innovative, impactful solutions that drive progress.
My Superpowers
Every creator has their toolkit. These are the technologies and tools I reach for to turn ideas into experiences.
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Computer Vision
LLM Fine Tuning
RAG
TensorFlow
PyTorch
scikit-learn
Hugging Face
Pandas
NumPy
Langchain
Flask
FastAPI
Amazon Web Services (AWS)
Docker
MLflow
DVC
Streamlit
CI/CD
PostgreSQL
SQL
ETL Pipelines
Linux
Vector Databases (Chroma)
Python
C
JavaScript
HTML
CSS
Data Structures and Algorithms
Experience & Impact
A
Jan 2026 – Present
Alignerr
Machine Learning Engineer · Remote
- 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.
J
May 2025 – September 2025
Jadavpur University CMATER Lab
Deep Learning Research Assistant · Kolkata, India
- 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.
Things I've Built
Every project is a story of curiosity turned into code — built to function and to feel right.
YouTube Sentiment Analysis
Created an end-to-end YouTube sentiment analysis pipeline processing over 10,000 user comments, enhancing sentiment classification performance through NLP preprocessing techniques.
Smart Product Pricing
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.
RAG System
Made a production-ready RAG pipeline integrating semantic vector retrieval with LLM generation to produce context-grounded responses.
My Academic Path
Jadavpur University, Kolkata
Bachelor of Technology
Hariyana Vidya Mandir, Kolkata
Higher Secondary
Achievements
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.
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
Let's Talk
Great work starts with great conversations. Whether you want to collaborate or just say hi — I'm always open.