Anik Chand

Kolkata, India
[email protected] | +91 9153772355
Portfolio | LinkedIn | GitHub | Kaggle

Summary

Machine Learning Engineer specializing in NLP, LLM applications, and model deployment.
Experienced in building production ML pipelines, RAG systems, and hyperparameter optimization libraries using Python, FastAPI, and TensorFlow.
Interested in building scalable AI systems focused on intelligent retrieval, contextual reasoning, and practical ML applications.

Experience

Contributor – NumPy

Oct 2025 | Remote

• Finalized linalg/fft deprecations (PR #29909) by removing legacy compatibility shims and updating public exports
• Collaborated with NumPy maintainers through multiple review iterations to ensure backward compatibility, API consistency, and successful integration into the main branch

Artificial Intelligence Intern – Brah.ma

Oct 2025 – Mar 2026 | Remote

• Developed AI systems leveraging Knowledge Graphs, Context Understanding, and Intelligent Information Retrieval techniques
• Built and optimized Machine Learning and Deep Learning models for semantic search, contextual reasoning, and information extraction
• Contributed to the design of scalable AI solutions for knowledge representation, retrieval, and intelligent decision support

Contributor (Hacktoberfest) – LocalStack

Oct 2025 | Remote

• Normalized documentation structure for the “Reproducible ML with Cloud Pods” tutorial by adding Introduction and Testing sections (PR #268)

Education

Haldia Institute of Technology
B.Tech in Computer Science and Engineering
2024 – Present
Expected Graduation: 2028 | CGPA: 8.67

Birbhum Zilla School
Higher Secondary (Class 12)
2020 – 2022
Grade: O (92.2%)

Projects

Chat With Repo – AI-Powered GitHub Repository Assistant

GitHub · Live

• Built an AI-powered GitHub repository assistant using an advanced RAG pipeline with query classification, multi-query retrieval, Reciprocal Rank Fusion (RRF), and reranking for accurate, grounded codebase answers
• Developed a production-ready platform using FastAPI, ChromaDB, PostgreSQL, JWT authentication, and Dodo Payments
• Implemented per-user repository indexing, chat history, and subscription management
• Tools: FastAPI, LangChain, ChromaDB, PostgreSQL, Cohere, Gemini, Groq, GitHub API, JavaScript

RagBucket – Portable RAG Artifact Framework

GitHub · Live

• Built an open-source framework that packages vectors, chunks, and retrieval configurations into portable .rag artifacts
• Developed a provider-agnostic RAG system supporting multiple embedding and LLM providers with FAISS-based retrieval
• Tools: Python, FAISS, LangChain, SentenceTransformers, Pydantic, FastAPI

lazytune – Fast Hyperparameter Optimization for scikit-learn

GitHub · Live

• Developed LazyTune, a smart hyperparameter optimization library available on PyPI that achieves speedup over GridSearchCV with near-identical final performance
• Implemented a multi-stage optimization pipeline with quick screening using cross-validation, performance-based ranking, early pruning of poor configurations, and full training on top candidates
• Added configurable prune_ratio for efficient elimination of underperforming configurations
• Tools: Python, scikit-learn, NumPy, pandas, FastAPI, HTML/CSS/JavaScript, Vercel

Video-RAG-Search – YouTube Video RAG Platform

GitHub

• Developed a Flask-based web application for YouTube audio transcription using Whisper, keyword extraction with Groq LLM, and semantic embeddings via SentenceTransformers stored in MariaDB
• Implemented semantic similarity search for transcript snippets with ranking, interactive UI, and caching via Flask-Caching
• Tools: Flask, MariaDB, Whisper, SentenceTransformers, yt-dlp, Groq API

Skills

Languages: Python, Java, C++, SQL, JavaScript

Libraries & Tools: NumPy, Pandas, Matplotlib, Seaborn, SciPy, scikit-learn, XGBoost, TensorFlow, Keras, PyTorch, OpenCV, Transformers, MLflow, Docker

AI/ML & Cloud Platforms: Hugging Face, LangChain, FastAPI, Streamlit, Gradio, MLflow, ZenML, RAGAS

Databases: MySQL, SQLite

Soft Skills: Teamwork, Leadership, Adaptability

Certifications

Skills from certifications: Random Forest, Model Validation, Machine Learning, LLMs, Agents, Claude, Python