Jun 2022 – Sep 2022 · 3 mos · Seattle, Washington, United States

• Advanced Measurement Infrastructure, Meta Ads
• Consolidated multiple user ads impressions streams for the Meta Ads Conversions Lift platform, reducing impressions data footprint by 50% across the org, which led to halving carbon footprint and cost in terms of computations, mitigated risks of misreporting business ads metrics
• Collaborated with the downstream Aggregated Event Processing Teams for integration and logic development of the consolidated ads impressions stream, was responsible for writing unit and integration tests for the new inputs in the downstream and delivered in Production
• Experienced software development cycles in the highly scalable and critical Ads Lift‑Conversion Infrastructure Systems in C++ and worked extensively with Presto on Meta Ads Big Data and metrics dashboards for monitoring of Ads time series data for validation
• Initiated, identified and delivered a series of code base revamping tasks beyond my project expectations to raise the team’s code repository standards to the current Meta code standards as a better engineering attempt and decreased the technical debt by over 46%

Sep 2021 – Jun 2023 · 1 yr 9 mos · San Diego, California, United States

• TA for the course CSE 20: Discrete Mathematics and CSE 21: Mathematics for Algorithms and System Analysis with Prof. Miles Jones and Prof. Russell Impagliazzo.
• Responsibilities include assisting an undergraduate class of strength 392, responsible for holding discussions, office hours, setting rubrics, grading, 1-on-1 sessions, and addressing doubts and concerns over online forums like Canvas and Piazza.

Jun 2019 – Aug 2021 · 2 yrs 2 mos · Bengaluru, Karnataka

• Experienced complete development life-cycle of production-ready Enterprise infrastructure: Business requirements assessments, Agile back-end and full-stack development, unit testing, with expertise in JAVA, SpringBoot, Oracle SQL, Python, C++, ELK Stack, ReactJS, RabbitMQ, Microsoft Azure, PostgreSQL, Shell Scripting on Linux Servers, Containerisation/Docker, CI/CD Pipeline Management on Jenkins, Git
• Contributed to the end-to-end digital transformation of proprietary document storage database and application software, Documentum into SGM Docs, a digital foundation hosted on Azure SaaS to centralize and normalize huge volumes of documents with better user experience
• Revamped the Relational Database (Documentum) into PostgreSQL model, and was the key contributor in architectural modernization of the legacy back-end software into a robust server-based SpringBoot application backed by ElasticSearch, Kibana, and Logstash engines
• Engineered the Machine Learning Model for the reconciliation revamping project, which efficiently predicted the daily cash reconciliations of business and auto-reconciles breaks in management tools based on service level agreements, reducing user analysis time by over 64%
• Developed an automation Bot for the Agency business in Python, for the reconciliation of cashbook with statements of the client records fetched using internally built APIs and OCR technologies, achieved 100% match sign-off with a successful deployment in the Agency servers

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

• Worked on the backend of a client risk assessment application prototype for the Investment Banking Technology Division
• Built an efficient banking assistant tool for detailed analysis of anonymised client data based on transaction history, enabled features to assert client input of data, process them to visualize relevant credit risk default trends
• Implemented Neural Networks and LightGBM models over a large data set and used Ensemble methods to get the best prediction outcome, which was approved for deployment

May 2017 – Jul 2017 · 2 mos · Bengaluru Area, India

• Efficiently predicted oral cancer from cell images, based on the difference in the fluorescence properties of normal and cancerous cells and made an in-depth analysis of the same
• Implemented Image Processing algorithms using ImageJ API to delineate cancerous cells based on morphological properties with images obtained from fluorescence microscopy
• Generated the data set to be used to train Neural Networks, automated the manual histopathological delineation process

Aug 2016 – Aug 2017 · 1 yr · Kharagpur Area, India

• Active core member of Spectra, the Fine Arts and Designs group, responsible for mentoring and leading arts events.
• Organised Artbeat, the annual art exhibition and brought together 120+ artists from across the campus

Aug 2015 – Dec 2015 · 4 mos · Kharagpur Area, India

• Co-organized NSSC, 2015, the first and the largest space technology fest in India for students, organized by Space Technology Students’ Society, held in association with ISRO
• Managed a footfall of 300+ students from across the country participating in various technical events and competitions