Dec 2024 – Jul 2025 · 7 mos · Cambridge, England, United Kingdom · On-site

• Led design and implementation of AWS Analytics Accelerator Library integration into Apache Iceberg, achieving 15% performance improvement in S3 data access for analytics workloads, delivered in Iceberg 1.9.0 release
• Architected high-performance client system supporting both CRT and Async implementations, with a comprehensive TPCDS benchmarking framework for performance validation across AWS environments
• Resolved critical performance bottleneck for enterprise customers, including Amazon Ads, reducing query latency from 2 minutes to sub-second through detailed analysis and optimization of overlapping S3 GetObject requests
• Made significant open-source contributions to Apache Iceberg and AWS Analytics Accelerator library, focusing on performance optimization and S3 access patterns

Nov 2023 – Present · 2 yrs 7 mos · Remote

• Integrating the LLVM bitstream with Content Addressable Storage ( CAS ) on the Apple fork of LLVM.
• Made enhancements to the libc++ standard library implementation and std::regex_match algorithm.

Aug 2023 – Nov 2024 · 1 yr 3 mos · London, England, United Kingdom · On-site

• Worked on pricing and risk calculations for LME futures contracts using various internal math models.
• Implemented the exchange connectivity bridge in Java to fetch the market data from 3 Crypto exchanges.
• Developed a feature to port price estimation strategies from Python to Java using TensorFlow graphs.
• Researched various options to reduce the tensorflow model inference latency using C++ libraries and tflite.
• Worked on arrow file generation with filtered FIX order messages to post-process and create reports.
• Worked on improving various components of both the frontend and backend of the core product's web application.

Mar 2023 – Jun 2023 · 3 mos · San Francisco, California, United States · Remote

• Developed the end-to-end notification system for the core product that lets admins announce new features to their customers using ReactJs, NextJs, and Flask.
• Worked on the complete frontend and backend integration for the Twitter Listening feature that helps users to track the posts that contain specific keywords, mentions, etc.
• Developed attribution pipeline that helped in identifying and decreasing the user signUp drop rate by 10%.
• Created the entire UI for the AI Tweet Generation library that lets users create their own tweets with existing templates.
• Worked on crucial UI components of the product, including Upgrade Modals, CTAs, and Navbar.
• Migrated various Twitter endpoints in Express JS from v1 to v2.
• Created setup for Google Analytics and Tag Manager to track the conversions.
• Improved logging for the product and integrated Slack for logging critical errors.
• Created pipelines to automate writing Calendly and SignUp data to Snowflake tables.
• Developed Cypress tests for end-to-end testing and Jest tests for unit testing.
• Received an offer for the Full-time Software Developer role after the internship.

Aug 2022 – Jan 2023 · 5 mos · Cambridge, England, United Kingdom · On-site

• Designed and developed a C++ client library to be imported into the Alexa team’s reasoning engine to reduce dependency on other services.
• Implemented a CloudAuth client to configure seamless authentication between the internal services.
• Used CMake software for build automation and packaging throughout the project using a compiler-independent method and gained expertise with the C++ build process.
• Tested and benchmarked the code, reducing the latency by 35% for the time it takes to process the input and send appropriate requests after authentication.
• Improved and corrected a few issues of the CppRestSDK client implementation in openapi-generator and raised two pull requests on GitHub.
• Successfully passed the intern evaluation and received an offer for the Full-time Software developer role in the Cross Graph Reasoning team.

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India · Remote

• Highlights:
• Worked in the QuickBooks Online advanced, Workflow platform team.
• Built a web app that lets developers quickly build, deploy, and test their BPMN.
• It could reduce the time Offering teams took to try out WAS by 50%.
• Added a feature for generating PR automatically using GitHub APIs.
• Received 3 Intuit spotlight awards and was offered a Full-time Software Developer role.
• Project details:
• The core idea behind my project was to provide an easy self-serve way for developers to build, deploy and test their BPMN. In addition, providing the last mile connectivity to eventually deploy their BPMNs to the e2e environment and then to PROD leveraging the CI-CD setup.
• Worked with:
• React, JavaScript, TypeScript, CSS, HTML, APIs, Postman, Git & GitHub, JIRA, Intuit’s UX Fabric capability, WAS, BPMN, Camunda.
• My Contributions:
• Created the web app and plugin using Intuit’s UXFabric capability.
• Integrated the Camunda Modeller into the web app.
• Enabled auto XML update for the BPMN being designed.
• Developed the REST Client to make calls to WAS ( Workflow Automation Service ).
• Enabled automatic fetch for authorization details.
• Added the save, update, trigger, and signal features.
• Support for the WAS Custom elements was added.
• Provided environment & swimlane selection.
• Developed a feature for automatic PR generation to the workflow-designer repository.

May 2021 – Aug 2021 · 3 mos

• Worked under the supervision of Dr. Neha Karanjkar, CSE prof. from IIT Goa.
• Explored and Gained knowledge of various RL algorithms such as Q-Learning, Monte Carlo, etc.
• Developed Reinforcement Learning agents from scratch to automate a few games against a human player such as Frozen Lake, Tic Tac Toe.
• Encoded the state space of each game using Python Classes and applied Monte Carlo and Value Iteration algorithms to train the RL agent.

Dec 2020 – Feb 2021 · 2 mos

• Winter of Code is an open-source program envisioned by DevScript that helps understand the paradigm of Open Source contribution.
• It aims to bring students into the world of open source development and see the power of unified problem-solving in real-time.
• My Project "Emotion Investigator" was selected for this program. Students across the country contributed to this project in various ways by adding features, resolving Issues, documentation etc.

Sep 2020 – Jul 2022 · 1 yr 10 mos

• Developer Student Clubs are university-based community groups for students interested in Google developer technologies. By joining this DSC, students grow their knowledge in a peer-to-peer learning environment and build solutions for local businesses and their community.
• At DSC IIT GOA, I was a part of conducting several Live events, Live Coding Workshops, Competitions, etc. A few of them are :
• Explore ML Beginner - Series to kickstart journey into the fascinating world of Artificial Intelligence.
• Lets Talk FOSS - Event to celebrate the existence of the ever-expanding and most welcoming open-source community. Covered various topics like Version Control System like Git Basics, Open Source Programs, etc.
• Chit Chat with Chatbot - A live coding workshop that teaches how to build a RASA chat-bot from scratch followed by a competition of developing a Chatbot to solve the given problem.

Aug 2020 – Oct 2020 · 2 mos

• Contributor's Hack, 2020 is an Open Source Program organized by HakinCodes to introduce the youth to Open Source and its great benefits.
• This program will run for about one and a half months in which fellow participants will get guidance from mentors to contribute to Open Source Projects.
• I contributed as a Mentor for the projects by guiding the participants with their hacks.
• I helped the Students in an Open Source Project "DeepPixel" by resolving their Technical Queries and Reviewing their Code.

Aug 2020 – Sep 2020 · 1 mo

• cAInvas Scholarship is a 6-week program where Scholars will learn about Machine Learning (ML), Industrial Internet Of Things (IIOT), and how to apply them in various real-world applications.
• Learnt how to apply AI Models on tiny devices ( Industrial Internet of Things)
• Simulated a Self Driving Car on NFS Game.

Aug 2020 – Sep 2020 · 1 mo

• Graduate Rotational Internship Program is a unique offer for students and recent graduates to experience and join TSF.
• This program aims to enable students to be professionally capable, and entrepreneurial. I was offered a position under Data Science most precisely Machine Learning as an Intern for 1 month.
• Outcomes :
• Review of ML Concepts
• Worked on K Means Clustering Algorithm and Visualization of Clusters.

Jul 2020 – Sep 2020 · 2 mos

• • I worked on various Projects incubated by the Company which includes Career Buddy, Reconstruction of Team, etc.

Jun 2020 – Sep 2020 · 3 mos

• My responsibilities included promoting and representing TechTable in my campus by creating awareness among the students about :
• Internships,
• Webinars, Workshops.
• Free mentorship and guidance programs.

Jul 2020 – Jun 2021 · 11 mos

• Coding Blocks was founded with a mission to create skilled Software Engineers for our country and the world. We are here to bridge the gap between the quality of skills demanded by industry and the quality of skills imparted by conventional institutes.
• My Roles and Responsibilities :
• Be the official Campus SuperHero and branding representative of Coding Blocks in your college.
• Creating programming contests on Hacker Blocks.
• Conduct Coding Blocks Workshop/Webinars every 6 months and programming events / online hackathons every 45 days on my campus.
• Organize counseling sessions and meet-ups in college canteen/campus with Mentors & Alumni.
• Represent Coding Blocks in the Placement Cells of our college.
• Check this link www.codingblocks.com & use the CBCA1694 referral code for Exciting Offers.

Jul 2020 – Oct 2020 · 3 mos

• Build with LetsUpgrade is a 2 month-long program conducted by LetsUpgrade with the aim to help beginners get started with Open Source Development.
• Students are paired with mentors, helping to gain exposure to real-world software development and techniques.
• I have been selected as Mentor for the project CHIT CHAT, A chatbot that aims to serve humans queries and give a feasible answer to their queries.
• I worked together with students to determine appropriate milestones and requirements while completing the project.
• We made a Covid-19 chatbot that helps the users to get detailed information about Covid-19. Some of the features are identifying if anyone is Corona positive or not, giving information of Covid cases in their area, telling precautions, symptoms, updates of vaccine, nearby hospitals, protection measures, antibiotics, Masks, etc.

Jul 2020 – Sep 2020 · 2 mos

• In the First month, I am provided with Industry level Training on Machine Learning Concepts and various Libraries. In the second month, I was assigned various projects to implement the knowledge gained in real-world problems.
• I worked on various Projects which included Exploratory Data Analysis and Ensemble Machine Learning Modelling where I used 3 different Classification algorithms namely SVM, Naive Bayes, and Logistic Regression for classifying the gender of the users.
• I was awarded as Top Performer for successfully completing additional Projects which included Advanced Regression & Sentiment Analysis.

Jul 2020 – Aug 2020 · 1 mo

• Technocolabs is a Software Development Services Company that Provide Services in various technical fields. I was selected as a Machine Learning Intern for a period of 1 month.
• A Facial Expression Recognition Classifier Model that takes Real-time Video input and predicts the Emotion of users present in front of the Webcam is built as a Final Project.
• It also gives Graphical Visualization of Expressions when we feed in an Image via WebCam or manually!
• Techstack used :
• 1. Deep Learning Techniques like CNN
• 2. Tensor flow
• 3. Flask