Jan 2024 – Mar 2025 · 1 yr 2 mos · Los Angeles County, California, United States · On-site

• Assisted in teaching
• 1. MATH 31B: Integration and Infinite Series, Winter 2024
• 2. MATH 32B: Calculus of Several Variables, Spring 2024
• 3. MATH 31AL & Math 31B, Fall 2024
• 4. ENGR 186W: Ethics for Computer Scientist, Winter 2025

Aug 2022 – Aug 2023 · 1 yr · Pune

• Built and operated production ML inference services using FastAPI, Docker, and Kubernetes, supporting high-throughput, real-time workloads as part of ML operations.
• Designed reusable ML pipelines for model training, testing, and deployment using Kubeflow, and deployed models using KServe for scalable, production-grade model serving.
• Implemented Cadence-based workflow orchestration to coordinate ML inference services and downstream microservices, enabling fault-tolerant execution and parallelism across the ML operations stack.
• Improved end-to-end inference latency by ~95% through batch processing and parallel execution techniques.
• Integrated logging and monitoring for deployed ML services using Datadog, improving debuggability and operational visibility in production.
• Authored and contributed technical blogs on ML operations and production challenges for Syngenta Digital, including:
• From Brainwave to Machine Learning Grave: Challenges Faced by ML Models
• https://medium.com/syngenta-digitalblog/from-brainwave-to-machine-learning-grave-challenges-faced-by-ml-machine-learning-models-from-dff73d8234f3

Jan 2022 – Jul 2022 · 6 mos · Pune

• Designed and implemented a Redis-backed caching proof of concept for the Revenue Management System (RMS), improving request latency and overall system performance by ~40%.
• Built backend features and application pages using Java and Angular, improving stakeholder access to operational and analytical data within the RMS.
• Developed optimized log search and Excel export tooling for system logs, improving internal debugging, testing workflows, and developer efficiency by ~15%.
• Gained hands-on experience with enterprise backend systems, contributing to feature development, testing, and quality assurance across the RMS stack.

Jul 2021 – Dec 2021 · 5 mos · Pune, Maharashtra, India

• Worked on a research project titled "Analysis and prediction of soil nutrients for crop using machine learning classifier"

Jul 2021 – Dec 2021 · 5 mos · Pune

• It was an amazing experience to work as an intern with the Digital Product Engineering (DPE) team at Syngenta. During my tenure I worked on projects like "Feature Store for MacWorked with the DPE team on ML infrastructure initiatives, including building a feature store for machine learning pipelines to support consistent and reusable feature computation.
• Implemented Cadence-based microservice orchestration, coordinating distributed services and enabling reliable, parallel execution of backend workflows.
• Presented project outcomes in a global technical forum, communicating system design, trade-offs, and results to engineers and interns across teams.hine Learning pipelines" and "Uber cadence - Microservice Orchestration".
• It was an amazing journey full of new and challenging learning path
• I also gave a global presentation of my work infront of members and interns all over the globe enhancing my communication and presentation skills

Jan 2020 – Jan 2021 · 1 yr · Pune

• Conducted various seminars for students and actively contributed to the learning and sharing process. Spearheaded the Cuda session and creation of YouTube Playlist to learn Python.

Jun 2019 – Sep 2019 · 3 mos · Pune