ML Engineer · Researcher · Builder
Open to opportunitiesDivyansh Pandey
Turning research into real systems — across ML, NLP, CV, and Agents.
I'm a polymath at heart — I carry my ability to recognize patterns from 3D puzzles and investigative thinking into ML systems that actually work in production. From Federated Learning at IIT Hyderabad to RAG pipelines and real-time inference engines, I build at the intersection of research and engineering, with 2 years of experience shipping E2E production-grade AI systems.
Currently exploring
- Generative AI & LLMs — Advanced deployment strategies, LLMOps pipelines, and fine-tuning workflows for production-grade language model applications.
- AI Agents — Building autonomous agent architectures with LangGraph and tool-use patterns for complex multi-step reasoning tasks.
- Federated Learning — Privacy-preserving ML for healthcare — decentralized training on non-IID medical imaging data without sharing raw patient records.
- Small Language Models & VLMs — Exploring efficient SLMs and Vision-Language Models for edge deployment and resource-constrained real-world applications.
- MLOps Pipelines — End-to-end production deployment with DVC, MLflow, Airflow, Docker, and Kubernetes — from experiment tracking to monitoring.
Experience
Machine Learning Researcher
· Full-timeManipal University Jaipur
Jan 2026 – Present · Jaipur, Rajasthan · On-site
- Conducting applied ML research in computer vision and deep learning using PyTorch, NumPy, and medical imaging datasets.
- Developing and evaluating model architectures for classification and segmentation tasks on real-world data.
AI/ML Engineer Intern
· InternshipVIGIL Labs, IIT Hyderabad
Apr 2025 – Jul 2025 · Hyderabad, Telangana · Remote
- Engineered a decentralized Federated Learning model for medical image classification & segmentation, surpassing baseline test accuracy by 20% on complex non-IID real-world data.
- Accelerated training convergence by optimizing communication protocols, reducing global round time by 45% and utilizing 55% fewer resources than baselines.
- Orchestrated secure ML workflows to address data heterogeneity and strict distributed data privacy requirements, translating project goals into a scalable, production-aligned AI solution.
Publication
View researchBarbell Exercise Classification and Repetition Counting
Engineered a robust ML system for barbell exercise classification and repetition counting using MetaMotion sensor data, achieving over 90% accuracy through comprehensive feature engineering and outlier detection pipelines for precise human activity recognition.
Projects
Skills & Stack
Languages
ML / DL
LLMs & Agents
MLOps & Cloud
Databases
Frameworks & Tools
Writing
All writingMechanistic Interpretability: From Memorization to Steering in GPT-2
This project demonstrates how to artificially induce memorization in a small LLM like GPT-2 Small, localize the memory circuits using…
Getting Started (in depth )with Local LLMs-and how to set them up
You can read the blog for free here.
RAGAS-Validated NL-to-SQL on Postgres — Final Chapter
Not a member? Read it here for free.
Education
Manipal University Jaipur
B.Tech (Hons.) Computer Science Engineering — Major in AI & ML
Sept 2022 – June 2026 · CGPA: 9.07
AI, Machine Learning, Deep Learning, Computer Vision, NLP
- 3× Dean's List — Excellence in Academics (Highest GPA) & Off-campus Achievements
- Springer Nature Published Author — First Author at ICDEC 2024
- Runner-Up — Xiaomi Ode2Code 3.0 national coding competition
Honors & Awards
Dean's List of All Round Excellence
· April 2025Manipal University Jaipur
In recognition of off-campus achievements and overall excellence.
Dean's List Excellence in Academics (Highest GPA)
· April 2024Manipal University Jaipur
Awarded for securing the highest Grade Point Average in Computer Science and Engineering (AIML).
Runner Up — Xiaomi Ode2Code 3.0
· 2023Xiaomi India
National-level coding competition organized by Xiaomi India.
Positions of Responsibility & Volunteering
Member · Open Source Contributor
· Part-timeThe Red Wood Lab
Jan 2025 – May 2025 · Jaipur, Rajasthan · Remote
- Contributed a multivariate Ridge regression model for electrical energy prediction on Micro Gas Turbine data (achieving R² = 0.9785 on test set).
- Worked across ML, NLP, and data science projects within the lab's open research ecosystem.
Open Source Contributor
· Part-timeSocial Winter of Code (SWOC)
Jan 2025 – Mar 2025 · Remote
- Contributed to open-source projects spanning LLMs, Computer Vision, and NLP as part of the SWOC program.
Open Source Contributor
· Part-timeHacktoberfest
Oct 2024 · Remote
- Contributed ML and data science notebooks to open-source repositories during Hacktoberfest 2024. Earned Level 1 badge.
Software Engineering Virtual Simulation
· TraineeJPMorgan Chase & Co. (via Forage)
Jan 2024 · Remote
- Completed a simulation focused on engineering tasks in JPMorgan Chase's credit-card rewards department.
- Created a new class to get an existing system up and running; authored a comprehensive unit test suite in Java.