Jun 2025 – Present · 1 yr · Remote

• Implemented 15+ advanced benchmarking tasks for AI model evaluation, built robust Python-based evaluation frameworks with detailed rubrics
• Building custom problem environments using Docker, Python, and pandas/numpy/pydantic..etc, ensuring secure, internet-free execution inside containers.
• Developing auto-grading Python scripts to score agents performance with partial credit and structured feedbacks. Task specifications in yaml file with realistic prompts and progressive multi-stage workflows.
• Aligning with industry benchmarks while avoiding plagiarism from existing LLM datasets. Used real-world datasets and business scenarios for authenticity.

Jun 2025 – Jan 2026 · 7 mos · Hyderabad, Telangana, India · On-site

• AWS Architect
• Developing an AI-driven solution for automated unit test case generation in Python projects using Agent AI and prompt engineering.
• Building ETL Data pipelines using PySpark

Oct 2022 – Jun 2025 · 2 yrs 8 mos · Santa Monica, California, United States · On-site

• Developed a secure data ingestion pipeline by converting Avro files to Parquet and sending them to Delta Lake, enhancing data
• compression and analytics. This resulted in processing streaming data and 30% improvement in processing speed, contributing to the
• overall security and efficiency. Skills: Java, Scala, JavaScript, System Design, Delta Lake, Apache Spark
• Optimized AWS SNS notification system by bundling 20 S3 SNS notifications into one, reducing event processing latency by
• 14%, which led to a 20% improvement in system efficiency. Skills: Java, Scala, JavaScript, AWS.
• Implemented security measures by developing a system to block specific EC2 instances and AWS accounts suspected of sending
• malicious data, identifying and mitigating threats from 644 malicious accounts. Skills: Java, AWS EC2.
• Implemented AWS CloudWatch alerts and monitoring dashboards using CDK, facilitating quick identification of production
• issues and maintaining 90% uptime. Skills: Python, JavaScript, Angular.js.
• Utilized Java/J2EE Technologies such as Core Java, JDBC, Servlets, JSP, XML, SPRING, JUnit, JavaScript, and Hibernate for development of Restful Web services. Used software tools, Git for maintaining code repositories and Swarm for code review.
• Adopted AGILE Scrum & TDD methodologies to reduce development costs and delivery time.
• Provided on-call support, monitored systems for high availability and reliability, ensuring 90% uptime through close collaboration with cross-functional teams.

Jan 2022 – Jul 2022 · 6 mos · San Francisco, California, United States · On-site

• Bug Tracking System: Designed MongoDB schema, introduced caching using Redis and developed end-to-end features in JavaScript (ES6) for adding, deleting and displaying bugs in the performance analysis application of Cloudflare Lightning Platform. Reduced developer efforts by 80%. Skills: JavaScript (ES6), MongoDB, Redis, Security Best Practices
• Implemented secure access controls by designing a system to restrict access to individual IP addresses for customers purchasing static or dedicated IP addresses, enhancing security compliance and customer trust. Skills: Network Security, Routing Algorithms.
• Designed a system to restrict access to individual IP addresses for customers purchasing static or dedicated IP addresses.
• Built multiple data pipelines using Spark and Scala to ingest data and streamline existing processes.

Apr 2021 – May 2021 · 1 mo · Boston, Massachusetts, United States

• Teaching Assistant/Graduate Grader for Statistics (Spring 2021) under Professor Samuel Scarpino at Network Science Institute, NU.
• Analysed Data of 150 students to give out the best possible feedback. Tutored and helped the students in R programming and Tableau software.
• Assisted professor in Scheduling classes and tests.

Jan 2021 – Dec 2021 · 11 mos · Boston, Massachusetts, United States

• Identified key metrics by writing complex SQL queries for 5 million+ behavioral data and redesigning database schemas in BigQuery of GCP.
• Performed quantitative analysis to support decision making in applied economics projects with Python and MySQL.
• Assisted with data collection, preparation, cleaning, analysis, and performing ad hoc reporting and Mixed method analysis of student’s applications at Northeastern. Created databases and cleaned using SQL to preform necessary operations.
• Deployed the machine learning model and applied statistical approaches including data aggregation and hypothesis testing for behavioral segmentation.

May 2019 – Aug 2020 · 1 yr 3 mos · Mumbai, Maharashtra, India

• Leading Booking system Automation: Led a team to automate, build, and enhance the booking and slot scheduling system for an E-learning platform with a user base of 200k active daily students and 10k active teachers. Developed scalable and reliable event-driven REST APIs in Node.js, following a test-driven development approach, which reduced operational costs by $500k monthly.
• Operational Efficiency Improvements: Streamlined user-dependent processes and reduced manual efforts in the operational panel, leading to a $10k monthly cost reduction and increased productivity.
• Infrastructure and Platform Cost Optimization: Reduced RDS costs by implementing meta caching around services and an event-driven queuing system for heavy data processing tasks such as teacher payments and user performance metrics. Successfully reduced infrastructure costs by 50%.

Dec 2017 – Feb 2018 · 2 mos · Delhi , India

• My work as a campus ambassador was to promote activities of E-Summit 2018 (FMS), which was one of the largest entrepreneurship festivals in the country. Promoted the event in PAN India. Represented my college's E-cell at E-Summit(2018).

Oct 2016 – Dec 2016 · 2 mos · Mumbai Metropolitan Region

• Promoted the event "Mood Indigo" and also represented my college at the national level in cultural and technical fields. The event was conducted by IIT Bombay.