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Nikunj Kumar

@nikunjkumar

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Machine learning and deep learning undergraduate building end-to-end AI pipelines and EDA-driven predictive models.

India

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What I'm looking for

I want to build reliable ML/LLM pipelines that combine strong EDA with measurable model improvements—especially for AI agents or healthcare-oriented AI—while collaborating in a research-minded team that values clean engineering and experimentation.

I’m a Computer Science undergraduate at IIIT Jabalpur with hands-on experience in machine learning, deep learning, exploratory data analysis, and end-to-end model development pipelines.

I work end-to-end in Python—engineering feature engineering and hyperparameter optimisation workflows across structured, unstructured, and time-series datasets. I’m proficient with TensorFlow, Keras, Scikit-learn, and PyTorch, and I use Pandas, NumPy, Matplotlib, Seaborn, and Plotly to turn data into clear insights.

I’m active in open source LLM ecosystems, with 14+ merged pull requests. My contributions include model performance enhancements, documentation clarity, and end-to-end pipeline optimisations, alongside a strong interest in AI agent development and Healthcare AI research.

In projects, I’ve built an ML Model Predictor with a dedicated EDA layer and GridSearchCV-based best-model recommendation. I’ve also created a unified competitive programming tracker that reduced manual effort by ~70%, and a Bitcoin Transaction Visualiser with real-time exploration targeting under 2-second response latency.

Experience

Work history, roles, and key accomplishments

Open Source Contributor

Angor (Bitcoin Protocol)

Jan 2026 - Present (5 months)

Delivered 6 merged pull requests for the Angor Bitcoin ecosystem, contributing to core infrastructure and protocol optimizations through bug fixes, performance improvements, and documentation updates.

Protocols Performance Optimization Documentation Infrastructure Code Review

Open Source Contributor

LLM4S

Jan 2026 - Present (5 months)

Contributed 8 merged pull requests to improve LLM tooling quality and model pipeline reliability, including performance enhancements, clearer documentation, and end-to-end pipeline optimizations across the LLM4S ecosystem.

Large Language Models Retrieval Augmented Generation (RAG)AI Agent Development Model Evaluation Git Technical Writing Documentation

Open Source Contributor

Kern (Adaptive UI System)

Jan 2026 - Present (5 months)

Designed and implemented a multi-resolution, multi-theme layout system for embedded displays using LVGL and built a multilingual/offline translation module with dynamic language toggling; ranked in the top 2% of contributors during proposal evaluation.

Multi Resolution Layouts Multi Theme Support Offline Translation Catalogs Embedded Systems Git

Education

Degrees, certifications, and relevant coursework

Indian Institute of Information Technology Jabalpur

Bachelor of Technology, Computer Science and Engineering

2024 -

Grade: CGPA: 8.2/10.0

Activities and societies: Relevant coursework: Machine Learning, Deep Learning, DSA, DBMS, Software Engineering, Computer Networks, Operating Systems, Design and Analysis of Algorithms.

Pursuing a Bachelor of Technology in Computer Science and Engineering with a current CGPA of 8.2/10.0. Coursework includes Machine Learning, Deep Learning, and Software Engineering.