CV
Education
Dec 2018 – Nov 2022
Ph.D., Computer Science (Computer Vision)
Friedrich-Alexander-Universität Erlangen-Nürnberg
- Chair of Pattern Recognition. Dissertation on scene understanding in digital humanities.
- Cumulative GPA: 1.3/4.0 (1.0 best)
Jul 2014 – May 2016
M.Tech., Information & Communication Technology
DAIICT, Gandhinagar
- Cumulative GPA: 9.23/10.0
2014
B.E., Electronics & Communication Engineering
LD College of Engineering, Ahmedabad
Experience
Aug 2026 – Present
Senior Vice President – Machine Learning
Infocusp Innovations, Pune
- Promoted to lead the machine learning practice, with accountability for technical direction and delivery quality across the computer vision and LLM portfolio.
- Developing technical leads and strengthening evaluation and delivery standards across teams.
Jan 2025 – Jul 2026
Vice President – Machine Learning
Infocusp Innovations, Pune
- Led the computer vision group (10+ engineers) across multiple concurrent LLM and computer vision projects, converting open-ended client requirements into crisp project definitions, task breakdowns, and agreed success criteria.
- Led a 4-engineer team optimising MASt3R-SLAM for drone trajectory tracking on Jetson Orin NX, delivering a ~9× inference speedup (0.26 → 2.4 FPS) under tight compute and power budgets using TensorRT and ONNX, plus adaptive retrieval that skips redundant relocalisations during turns.
- Led a 5-engineer team building agentic AI systems for user researchers — agents that execute analysis workflows and generate reports — with LLM-as-a-judge evaluation harnesses as a first-class deliverable.
- Delivered a production hybrid multimodal retrieval system fusing vector-indexed image and text search with keyword search, for heterogeneous visual collections where off-the-shelf embeddings fail.
- Designed agentic health-protocol generation for a regulated domain with an auditable LLM review layer.
Aug 2023 – Jan 2025
Technical Lead – Machine Learning
Infocusp Innovations, Pune
- Fine-tuned TF Model Garden detection models for industrial defect inspection, achieving a 20% F1-score improvement on production data characterised by tiny targets, severe class imbalance, and few labelled failure examples; carried the work from data pipeline to customer POC.
- Built and led a 4-person R&D team on an LLM/RAG survey-analysis platform that summarises, tags, and reports on user-research data, cutting researcher time per project by 40%, validated against human-coded baselines.
- Translated peer-reviewed small-data techniques — transfer learning, attention-guided augmentation, one-shot detection — into repeatable delivery patterns for engagements where off-the-shelf models plateau.
Dec 2018 – Jun 2023
PhD Researcher
Friedrich-Alexander-Universität Erlangen-Nürnberg
- Pioneered ICC and ICC++, explainable feature learning methods leveraging human pose to uncover semantics and link iconography across image datasets.
- Enhanced pose estimation in ancient Greek vase paintings through style transfer and a perceptual metric, and improved one-shot object detection for heterogeneous artwork images using data contextualisation strategies.
- Improved classification performance for breast calcification analysis using histogram equalisation.
Jul 2016 – Nov 2018
Machine Learning Engineer
Infocusp Innovations, Ahmedabad
- Designed and deployed an enterprise candidate recommendation system processing 1M candidates daily to optimise hiring across multiple job positions.
- Led end-to-end development of a scalable hiring infrastructure using Python, PySpark and AWS, supporting concurrent multi-user access.
- Designed and implemented algorithms for reel, jerk, jigging and catch detection from fishing-rod sensor data — Python for development, C for deployment — with verification and validation testing.
- Contributed to tf-cnnvis, an open-source CNN visualisation tool.
Skills
Programming languages
- Python
- C
AI/ML frameworks
- TensorFlow
- PyTorch
- Scikit-learn
- OpenCV
- Hugging Face
- Transformers
- ONNX
- TensorRT
Technologies
- Prompt engineering
- Docker
- CI/CD (GitHub Actions, Jenkins)
Tools
- Git
- VSCode
- Pandas
- NumPy
- IceVision
- LangChain
- LlamaIndex
- Tensorboard
- JupyterLab
- Streamlit
Databases
- ElasticSearch
- FAISS
- TFRecords
- Protobuf
Cloud
- AWS (EC2, S3, Lambda, SageMaker)
- GCP
Publications
21 peer-reviewed publications, 320+ citations. The five most recent are below; the full list is on the research page.