Nikhil Chaudhary
AI/ML • Full-Stack • Cloud

Nikhil Chaudhary — Future‑ready products, powered by data.

I'm Nikhil, an AI/ML engineer and full‑stack dev blending modern ML with pragmatic software engineering. I craft robust, user‑focused systems with a dash of neon.

Download résumé See projects

Open to AI/ML Engineer • Data Scientist • Software Engineer roles & internships.

About

AI/ML professional with proven expertise in advanced data analysis, deep learning, and software engineering. Skilled in Python, TypeScript, and cloud platforms, I deliver robust data‑driven solutions to complex business challenges. I enjoy transforming messy real‑world data into reliable, production‑ready features and models.

Skills

Programming & Dev

Python TypeScript C/C++ C# Java JavaScript HTML/CSS Docker REST APIs MySQL Linux Git • CI/CD

AI/ML & Data Science

PyTorch TensorFlow scikit-learn pandas • NumPy Graph analytics (Neo4j) GNNs NLP • LLMs Prompt engineering Model eval & perf

Experience

Software Developer • South Dakota State University

Sept 2024 — Present • SD, USA
  • Developed a custom water tank CAD analysis software for Maguire Iron.
  • Collaborated with faculty and researchers to enhance analysis accuracy and UX.

Software Developer Engineer • Siemens Technologies

Jul 2022 — Jul 2024 • Gurgaon, India
  • Full‑stack dev on a cloud app optimizing water supply using prices, plant data, and demand forecasts.
  • Led AngularJS → Angular 14 migration of legacy codebase.
  • Performance tuning that drove customer adoption & retention.

Data Science Intern • HighRadius

Dec 2020 — Jun 2021 • Bhubaneswar, India
  • Mined insights from large structured & unstructured datasets.
  • Built feature pipelines and applied ML for financial metric prediction.

Projects

Agentic RAG • FinTech

Agentic RAG Risk Copilot (AR²C)

Open-data, citation-first copilot that analyzes SEC filings, FRED macro series, and historical prices to produce auditable risk memos and sensitivity tables.

Live demo
Cloud • Optimization

SIWA OPTIM — Siemens Water

Cloud app to optimize pump schedules using dynamic electricity prices, demand forecasts, and plant telemetry.

Private work • demo on request
Kaggle • Vision

Petals to Metals — Flower Classification

Image classification on a large flower dataset using InceptionV3.

View Kaggle
Vision • DNN

Traffic Sign Recognition

Multi‑class traffic sign classifier with deep neural networks.

View on GitHub
Hackathon • ML

Adopt a Buddy — Pet Classification

Animal type & breed prediction from physical attributes.

View Kaggle

Education

Master’s, Computer Science

South Dakota State University • Aug 2024 — Present

B.Tech, Computer Science & Engineering

KIIT University • Jul 2017 — Aug 2021

Contact

chaudharyn582@gmail.com
+1 (605) 592-8818
LinkedIn GitHub Kaggle

Prefer email. I usually reply within a day.