Feb 2025 – May 2025 · 3 mos · Los Angeles, California, United States · Remote

• Developed an AI education platform using Flask, React with Next.js, and MongoDB, integrating OpenAI for automated content curation workflows efficiently.
• Engineered AI agents leveraging Google Cloud AI and custom TensorFlow models to automatically summarize YouTube podcasts and generate blog content.
• Implemented an AI-powered roadmap generator using Flask backend and external APIs, creating step-by-step guides for technical and non-technical users effectively.
• Integrated real-time AI news aggregation using Flask REST APIs and MongoDB, automatically updating content with React frontend every 24 hours.
• Collaborated with interdisciplinary teams to align API integrations, optimize MongoDB queries, and enhance frontend performance using Next.js best practices, efficiently.

Jun 2024 – Aug 2024 · 2 mos · Los Angeles Metropolitan Area · On-site

• Lead inperson classes for middle and high school students in teaching programming basics using Java and Python at CS@SC Summer Camp
• Designed new lesson plans and reviewed existing teaching materials

May 2023 – Dec 2023 · 7 mos · Gurugram, Haryana, India · Hybrid

• Led the Development of an Automation Tool and Internal Form using Java Spring Boot, MongoDB, and MySQL, boosting capacity by 20%, reducing resolution time by 75%, and benefiting over 60 million users
• Implemented Single Sign-On (SSO) using OAuth2 and OpenID Connect, reducing third-party dependency by 70% and enhancing user authentication
• Developed an integrated feedback system in Optum’s Automation Tool using Spring Boot, enhancing cache tuning capabilities; and reducing manual intervention by 60%, while improving overall performance
• Improved UI responsiveness and functionality using Angular, reducing page load times by 30% and enhancing user interaction speed, leading to faster and more seamless user engagement

Sep 2022 – May 2023 · 8 mos · Bengaluru, Karnataka, India · Hybrid

• Developed a data migration pipeline, extracting over 10 TB of data from Elasticsearch using customized Logstash configurations and securely storing it in S3, ensuring efficient data handling
• Optimized data preprocessing using PySpark on AWS EC2, reducing migration time by 40%, while configuring Apache Pinot schema and conducting validation checks to enhance data quality and analysis capabilities
• Spearheaded a data lake POC using AWS Glue and Athena, improving data accessibility and automating reporting processes, reducing manual report generation time by 80%
• Implemented system monitoring with DataDog and Airflow DAG failure alerts, reducing downtime to under 2%

May 2022 – Jul 2022 · 2 mos

• Enhanced chatbot functionality by creating and debugging over 10 problem templates, increasing student interaction efficiency by 25%, by developing Python scripts using Low Code Platform, JSON, and Jinja, and generating payloads with Postman
• Optimized API latency by 10% and enhanced system scalability by implementing multithreading and transitioning microservices to an event-driven architecture with RedisMQ and Redis Streams

Jan 2022 – Mar 2022 · 2 mos · Bangalore Urban, Karnataka, India

• Developed a minimal viable product called XRay-Setu. Worked on improving the app performance with
• optimizations. Tech stack used are React, Python, TypeScript.
• Migrated the codebase of Xray-Setu from JavaScript to Typescript.

Oct 2021 – Feb 2022 · 4 mos · India

• My main objective is to take doubts related to Data-Structures and Algorithms raised by students. Mentored and monitor the performance of the assigned students.

Aug 2021 – Mar 2023 · 1 yr 7 mos

• Produced technical articles by researching and analyzing over different technologies like Big-Data, Machine
• Learning, Data-Structures, and others

May 2021 – Feb 2022 · 9 mos · India

• Developed and worked on developing different Machine Learning models using Python, Matlab, neural networks, for drones, satellites, and ground base stations.
• Documented where features were implemented, to make the codebase more maintainable.
• Simulated results of various Machine Learning Algorithms to support the hypothesis

Oct 2020 – Jun 2021 · 8 mos · India

May 2020 – Jun 2021 · 1 yr 1 mo · India