About
I’m Adith. I build ML systems, then ask why they work.
I’m a Ph.D. student in NLP and NLU at Purdue University, where I work on natural language understanding, bias and fairness, and explainability for large language models.
Before Purdue I earned my M.S. in Computer Science at New York University, focusing on deep learning, machine learning and computer vision.
Most recently I was an Applied Scientist Intern at Amazon, developing machine-learning approaches for personalized content recommendations across large-scale, customer-facing experiences, and building the experimentation and offline-evaluation workflows to measure them.
Earlier, as an ML engineering intern at Rheem, I built predictive-maintenance models for more than a million connected HVAC devices.
West Lafayette, INPurdue
3.9
Ph.D. GPA at Purdue
3
industry ML roles
5+
years building ML systems
Experience
Jun – Aug 2026
AmazonApplied Scientist Intern · New York City Metropolitan Area
- —Developed machine-learning approaches for personalized content recommendations across large-scale, customer-facing experiences.
- —Built experimentation and offline-evaluation workflows to assess recommendation strategies using customer-engagement signals.
- —Collaborated with applied scientists and engineers to develop scalable ML solutions for product applications.
May – Aug 2024, Jan – May 2025
Rheem ManufacturingMachine Learning Engineer Intern · Roswell, GA
- —Predictive-maintenance models for HVAC IoT sensor time-series across 1.2M+ devices, improving anomaly-detection precision by 18%.
- —AWS S3 → Logstash → Elasticsearch pipelines ingesting 100M+ events a day with sub-second query latency.
- —Accelerated Python/C++ inference pipelines by 30% and retraining throughput by 35%.
- —Deployed an enterprise LLM RAG platform (LLaMA + internal APIs) that cut documentation search time by 45% for 300+ engineers.
Jun 2021 – Aug 2023
Unique World RoboticsMachine Learning Engineer · Dubai, UAE
- —IoT-driven crop-yield and irrigation prediction models with 97% accuracy across 10+ soil and climate conditions.
- —AWS EC2/S3 inference APIs serving 20K+ weekly requests while cutting infrastructure costs by 30%.
- —Integrated ML predictions into autonomous robotic systems deployed across 15+ agricultural sites.
Education
Purdue University
Ph.D., NLP & NLU
Research focus: NLU, LLMs, explainability, evaluation
Aug 2025 – Present
GPA 3.9 / 4.0
West Lafayette, IN
New York University
M.Sc. in Computer Science
Deep Learning, Machine Learning, Computer Vision, Introduction to Marketing
May 2025
GPA 3.97 / 4.0
Brooklyn, NY
National Institute of Technology, Warangal
B.Tech. in Computer Science and Engineering
Probability & Statistics, Data Mining, Data Science, AI
May 2023
India