Sep 2024 – Sep 2025 · 1 yr · United States

• As a Software Programmer + System Admin at UF’s ICBR, I design and maintain infrastructure supporting high-throughput research in genomics, proteomics, bioinformatics, etc. I led the revamp of the LIMS platform, reducing downtime by 30% and streamlining workflows for 100+ researchers, accelerating critical sample processing.
• I manage Linux-based systems, VMs, and firewalls, and implemented Python-based monitoring to reduce vulnerabilities by 25%. I also develop internal tools using Django, JavaScript (NodeJS, ReactJS, Angular), and REST/GraphQL APIs, and optimize PostgreSQL and MariaDB databases. These efforts support $50M+ in active research, enabling faster, more secure scientific discovery.

Jun 2024 – Sep 2024 · 3 mos · United States

• Led major enhancements to AgroClimate, a decision-support tool for farmers and researchers. I optimized scalability using AWS (Lambda, S3, DynamoDB), improving system stability by 20%. I managed cloud-based MongoDB and PostgreSQL pipelines, and converted R models to Python, reducing processing time by 30%.
• I also built a Flutter-based mobile dashboard for real-time field access and improved frontend UX with Angular and JavaScript. These efforts led to a 40% increase in delivery speed and better accessibility for end users.

Jan 2024 – May 2024 · 4 mos · United States

• Optimized AgroClimate’s web tools using Angular, NodeJS, and Python, streamlining data flow across MongoDB and PostgreSQL. Implemented CI/CD with GitLab and deployed services on AWS (Lambda, S3, DynamoDB), reducing deployment time by 30% and improving system responsiveness.
• Migrated complex R algorithms to Python, increasing data processing speed by 25% and enabling better scalability. Performance enhancements led to a 20% faster user experience, a 15% reduction in server load, and a 40% boost in system throughput—directly supporting timely, data-driven decision-making for farmers, researchers, and policymakers across the Southeastern U.S.

Sep 2023 – Present · 2 yrs 8 mos · Remote

Jul 2021 – Aug 2022 · 1 yr 1 mo · Remote

• As a Software Engineer in Risk Advisory at Deloitte, I supported clients in strengthening cybersecurity, ensuring compliance, and improving operational resilience. I developed a custom risk assessment tool and used Python for data analysis, reducing cybersecurity threats by 20% and automating 30% of manual backend workflows. I also managed infrastructure controls across Oracle, Active Directory, and PeopleSoft, evaluated IT risks, and led client meetings to implement control enhancements. My work blended technical execution with consultative guidance, helping clients align with regulatory standards and boost operational efficiency.

Sep 2020 – May 2021 · 8 mos · Remote

• As a Software Engineer (Analyst) at Cognizant, I worked on cross-functional projects in the life sciences domain, improving data infrastructure and streamlining analytics workflows. I boosted team productivity by 25% through strong project coordination and stakeholder collaboration. I developed scalable ETL pipelines using Informatica, automated data processing with Python, R, and TCL, and optimized SQL queries for faster reporting. My work enhanced data reliability, supported regulatory compliance, and enabled informed decision-making in highly regulated environments.

Jan 2020 – May 2020 · 4 mos · Pune

• Under the guidance of seasoned mentors, I actively utilized a suite of advanced technologies including SQL, Python, PySpark, and AWS to drive successful outcomes for our clients. My role was pivotal in refining and optimizing SQL queries and Python scripts, significantly enhancing data retrieval speeds and processing efficiency. These optimizations were crucial in achieving key project milestones, allowing us to meet critical deadlines and exceed client expectations.
• Additionally, by leveraging AWS services, I ensured scalable and reliable infrastructure support for our data-intensive operations, further solidifying our commitment to delivering high-quality results. This experience not only sharpened my technical skills but also deepened my understanding of practical data engineering applications in a real-world setting.

Jun 2019 – Jul 2019 · 1 mo · Noida Area, India

May 2018 – Jun 2018 · 1 mo