Divyesh Jagetia

Machine Learning Researcher & AI Specialist

ML Researcher with 6+ years of experience and M.Sc. in Computer Science. Expertise in AI innovation, LLMs, and scalable ML solutions. Committed to delivering business impact through fair and responsible AI.

About Me

Divyesh Jagetia

I'm a Machine Learning Research Scientist with expertise in developing and deploying advanced AI models. My passion lies in creating scalable ML solutions that deliver tangible business impact while adhering to ethical AI principles.

At Arrow Electronics, I lead AI initiatives that drive innovation through cross-functional collaboration. I've built high-precision NLP models, engineered Graph Neural Networks, and developed ranking networks for supply chain resilience.

I hold a Master's degree in Computer Science from Boston University, where I specialized in machine learning and statistical modeling. With experience in robot learning, computer vision, and LLMs, I'm committed to pushing the boundaries of AI research and applications.

0
Years Experience
0
Research Projects
0
Publications
$0M
Business Impact

ML Research

Deep expertise in transformers, LLMs, and cutting-edge AI models for real-world applications.

AI Deployment

Experience optimizing and scaling ML models for production environments with TensorRT, ONNX, and Kubeflow.

Ethical AI

Committed to responsible AI development with focus on governance, bias mitigation, and ethical compliance.

Leadership

Proven track record of leading ML research teams and mentoring engineers through AI upskilling.

Professional Experience

May 2021 - Present

Machine Learning Research Scientist

Arrow Electronics, USA

  • Built and deployed high-precision NLP models (BERT, LSTM) for sentiment analysis on large-scale news data
  • Engineered Graph Neural Networks (GNNs) with GraphSAGE, DeepWalk and Node2Vec for advanced graph learning applications
  • Reviewed AI governance policies, ensuring ethical compliance and responsible AI development
  • Led a team of 5 researchers to develop a recommender system and conversational search using LLMs
  • Led AI use-case prioritization workshops to maximize business impact worth $170M
Jan 2020 - May 2021

Graduate Research & Teaching Assistant

Boston University, USA

  • Built a simulation game to research users' impulsivity and drug influence using causal inference and reinforcement learning
  • Teaching Assistant for Graduate course CS 521 - Information Structures with Python
  • Designed assignments, exams, and guided students through complex programming concepts
June 2018 - Dec 2019

Robotic Research Intern

Defense Research & Development Organization, India

  • Developed deep learning-based real-time video processing for an Autonomous Holonomic Robot
  • Optimized vision-based object tracking using YOLO, Kalman Filters and path planning
  • Improved detection accuracy by 40% for military surveillance applications
June 2017 - May 2018

Software Engineer Intern

Timely, India

  • Designed and executed test automation pipelines, reducing defect detection time by 25%
  • Performed regression testing and quality assessment
  • Enhanced database management and overall application performance

Research Projects

Reinforcement Learning

Multi-Agent Connected Autonomous Driving

Boston University | A Chavez

Addressed challenges of partial observability and learning distribution in centralized reinforcement learning for autonomous vehicles at traffic intersections.

Natural Language Processing

Visually Grounded Neural Syntax Acquisition

Boston University | David A Tofu

Improved performance for low-resource languages by demonstrating that visually grounded syntax acquisition can benefit from cross-lingual performance.

Distributed Systems

Consistent Hashing with Bounded Loads

Boston University | Dr. Belyaev

Implemented a solution to overcome the cascading effect on Consistent hashing caused by increasing load, reducing latency by 22%.

AI & Computer Vision

3 x 3 Rubik's Cube Solver

Boston University

Developed an AI agent to solve a Rubik's cube using Constraint Propagation, depth-first, back tracking and reinforcement learning.

Predictive Analytics

Electronic Components Obsolescence Forecasting

Arrow + MIT | Prof. Dr. Amar Gupta

Analyzed important attributes using PCA, linear and logistic regression analysis on temporal data to extrapolate with 98% accuracy.

Robotics

Autonomous Driving System

MIT

Developed a remote vehicle to drive autonomously by imitating the front vehicle in a sophisticated urban environment.

Education & Certifications

Master of Science in Computer Science

Boston University
2021
GPA: 3.87/4.00
Thesis: Expectation-Maximization clustering of multi-variate α-stable elliptical distributions

Bachelor of Engineering in Electronics and Telecommunication

Maharashtra Institute of Technology
2018
GPA: 8.11/10.00

Professional Certifications

Self-Driving Car Engineer

Udacity

Machine Learning

Coursera

Satellite Communication

IIT

ML Ops & Scalable ML

Google

Skills & Expertise

Programming Languages

Python
C++
Java
R
MySQL
Rust

Frameworks & Libraries

PyTorch TensorFlow Keras Jax QLoRA TinyML CUDA TensorRT MLflow DALLE

Large Language Models

Grok3 DeepSeek-R1 GPT4 EXAONE3

Edge AI

NVIDIA Jetson ONNX Edge TPU

Domain Expertise

Robot Learning and Vision Data Science DBMS Computer Language Theory Robotics Optimization Operating Systems OOP Data Structures and Algorithms Deep Learning Generative AI Statistical Learning Theory ML for Healthcare Agentic AI

Get in Touch

Interested in collaborating on AI research, discussing innovative ML solutions, or just want to connect? Feel free to reach out!