Experience

Journey So Far

Work, research, education, and projects — each entry expands to show what I worked on and what I took away from it.

Work
2024 – Present Senior Software Engineer Renesas Electronics America Inc. · San Jose, CA +

Implementing AI pipelines by developing modular K8s-based Airflow DAGs and a REST APIs framework to deliver NNPerf -- an automated, cloud-based hardware-in-the-loop inference, cutting model evaluation time by 70%, reducing compute cost by 30%, and accelerating R&D cycles for rapid model experimentation at scale.

  • Building MLOps systems for large-scale model validation for target hardware.
  • Synthetic data generation and quality assurance for benchmarking.
  • Fine-tuning Vision Language Action (VLA) models and inference testing on hardware.
MLOps PyTorch PyTest Cloud python
2023 – 2024 Data Scientist California Institute for Regenerative Medicine (CIRM) · South San Francisco, CA +

Implemented a robust Data Architecture for the various data/information needs of various cross-functional teams at CIRM.

  • Enabled collaboration using SharePoint shared workspace along with exemplified documentation.
  • Creating a Power BI dashboard for grants financial reports.
  • Assisted in teaching the Computational Data Intelligence course.
PowerBI Sharepoint data-engineering finance-data python
Aug–Dec 2022 ML Intern — Biotechnology Research Openwater.cc · San Francisco, CA +

Worked on high-impact medical imaging tasks aimed at delivering MRI-based treatments for brain-related illnesses without CT scan dependency.

  • Trained a self-supervised one-shot Head Segmentation model with 0.75 Dice score.
  • Implemented UNETR (Vision Transformer-based) for MRI segmentation.
  • Built a time-series Transformer model for stroke detection in first response.
  • Auto-generated labels via one-shot data augmentation.
medical-imaging monai unetr one-shot pytorch
May–Aug 2022 ML Intern — Applied Research, Deep Learning Quantiphi Inc. · Worcester, MA +

Implemented Graph Machine Learning and GPT, T5, and Transformer based algorithms to automatic multi-hop Question Generation for the given large Knowledge Graphs. 95% of all the generated questions were meaningful and indistinguishable by human evaluation.

deep-learning python
2018 – 2020 Machine Learning Engineer Yantriks · Bengaluru, India +

Built and deployed ML solutions in supply chain optimisation and demand forecasting for enterprise clients.

  • Designed forecasting pipelines using gradient boosted trees and time-series models.
  • Built REST APIs for ML model serving in production.
  • Worked with SQL, Python, and GCP for data engineering tasks.
sklearn xgboost sql gcp python rest-api
2015 Software Engineer TCS · India +

Started professional career as a software engineer at TCS.

java sql
Research
2021 – 2023 IEEE CASE 2023 — Computer Vision and Robotics Research WPI MER Lab · Worcester, MA +

Research on multimodal deep learning. Work culminated in an IEEE CASE 2023 publication on manufacturing and perception tasks.

  • Experimented with audio, video, image, and text fusion architectures.
  • Ran distributed training jobs on WPI's High-Performance Cluster.
  • Published and presented at IEEE CASE 2023.
multimodal pytorch hpc ieee
2016 – 2018 NeurIPS 2019 workshop — Reinforcement Learning and Intelligent Transportation System Indian Institute of Science (IISc) · Bengaluru +

Master's research in the Department of Computer Science and Automation at IISc. Focus on applied machine learning and statistical learning theory.

ml-theory python research
Education
2021 – 2023 M.S. in Data Science Worcester Polytechnic Institute (WPI) · Worcester, MA, USA +

Graduate studies in Computer Science with focus on machine learning, data science, and applied AI research. Teaching Assistant for Computational Data Intelligence.

machine-learning data-science algorithms
2016 – 2018 M.Tech in Computer Science & Automation Indian Institute of Science (IISc) · Bengaluru, India +

Master of Technology from one of India's premier research universities. Courses in ML theory, algorithms, systems, and advanced mathematics.

ml-theory statistics algorithms
2010 – 2014 B.E. Computer Engineering Savitribai Phule Pune University · Pune, India +

Bachelor of Engineering in Computer Engineering. Foundation in data structures, operating systems, computer networks, and software engineering.

c++ java data-structures os
Selected Projects
2022 – 2023 Multimodal Perception for Manufacturing Automation WPI MER Lab · IEEE CASE 2023 +

Research project on fusing audio, video, and sensor data for intelligent manufacturing systems. Led to an IEEE CASE 2023 publication.

  • Designed multi-branch fusion architectures for heterogeneous sensor data.
  • Achieved significant accuracy improvements over single-modality baselines.
  • Implemented distributed training pipeline on HPC cluster.
multimodal pytorch ieee-case-2023
2022 One-Shot Head Segmentation for MRI Openwater.cc · Medical Imaging +

Self-supervised one-shot learning model for head segmentation in MRI, enabling MRI-based stroke treatments without CT scan dependency.

  • 0.75 Dice similarity score on held-out test set.
  • Removes ionising radiation risk from current clinical workflow.
unetr vit monai medical-imaging

Skills

Machine Learning Deep Learning PyTorch Computer Vision NLP Transformers Medical Imaging MLOps One-Shot Learning Python SQL Distributed Computing REST APIs C++ Java Data Engineering Google Cloud Platform SparkML HPC / Slurm Linear Algebra Statistics Optimisation Theory Research & Writing Teaching Mentorship
ML / AI Engineering Data Science / Maths Soft Skills Font size reflects depth of experience