Feb 2023 – Jan 2025 · 1 yr 11 mos · Schenectady, New York, United States · On-site

• Developing EV charging infrastructure using Typescript, NodeJs AWS CDK, Mongodb,Kafka, React. Building new features for event driven architecture systems and microservices

May 2022 – Aug 2022 · 3 mos · Salt Lake County, Utah, United States

• ● Designed and productionized a cell segmentation tool in Python, improving accuracy by 12%, and collaborated with a 10-engineer team to optimize tasks and resolve bottlenecks.
• ● Developed a machine learning pipeline using MLFlow, GCP, and Python for managing ML models, integrated with CI/CD and deployed on Kubernetes.

Nov 2020 – Jul 2021 · 8 mos · Bengaluru, Karnataka, India

• Contributed to backend development of an ML and HPC workload platform for research scientists, enabling deployment and lifecycle management through a user-friendly UI.
• Developed RESTful APIs in Python to interact with Kubernetes, enabling users to schedule ML and HPC workloads while ensuring seamless communication between the UI and backend.
• Liaised internally with the HPC Altair team and the Front-end Engineering team, to integrate the MLOps platform for HPC & ML users.

Jan 2020 – Mar 2020 · 2 mos · Pune, Maharashtra

• ● Improved Deep Learning inference time for seismic data analysis using Intel OpenVino and pytorch in Python
• ● Built a Deep Learning architecture combining LSTM with Deep Neural Networks and achieved 70% accuracy.
• ● Delivered technical presentations to the team on new designs, features and development plans.

May 2019 – Jul 2019 · 2 mos · Gurgaon, India

• ● Contributed to the software development lifecycle by designing and implementing features for a Data Analytics
• application for performance analysis, prediction and visualization, delivering clean and scalable code in Python.
• ● Generated capacity growth solution & analytics statements, used by LTE networks for future use-cases.
• ● Reduced manual workflows by 50%, by developing an interactive GUI with Pyqt to automate the parsing of large XML
• & CSV files containing network operator KPI reports. Implemented iterative parsing to handle XML files in memory.

May 2018 – Jul 2018 · 2 mos · New Delhi Area, India

• Responsible for developing hardware model for detection of human presence in room using PIR sensor and Nodemcu Microcontroller to automate the functioning of room lights.
• Developed a backend system where the server gets the sensor data from the microcontroller, updates the database and displays information on the website for different rooms. Server is implemented in Nodejs and Website is made using HTML and Bootstrap.