{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"Software Engineer 2","company":"Uber","location":"Bangalore, India","range":"November 2024 - Present","url":"https://www.uber.com"},"html":"\n- Part of the Hailables 3P team; led large-scale migrations of third-party micromobility and taxi partners to the Fulfillment Platform by mapping legacy state machines to a standardized lifecycle model.
\n- Built high-throughput, low-latency distributed systems supporting real-time matching with strict FIFO guarantees across hundreds of queues, utilizing Docstore, achieving ~100ms p99 latency at city and airport scale.
\n- Owned pricing and marketplace logic in highly regulated environments, delivering in-house fare calculation, VAT-compliant booking fees, and upfront pricing that generated $4M+ revenue in six months and improved conversion from ~35% to 60%+.
\n- Launched the first-ever product at Uber where drivers are charged the minimum of the upfront fare shown and the meter fare entered by the driver.
\n- Recognized as a top performer of the uear 2025 for execution and reliability across the Hailables org, delivering 500+ production changes in a span of year, leading incident mitigation and postmortems, improving observability, and mentoring engineers across teams.
\n
"}},{"node":{"frontmatter":{"title":"Software Engineer","company":"Microsoft","location":"Hyderabad, India","range":"July 2024 - Nov 2024","url":"https://www.microsoft.com"},"html":"\n- Developed a POC Android application for the Mobile Experience Platform, leveraging LLMs to extract insights from screen captures and audio inputs. Integrated conversational analysis and App Center feedback, reducing application latency by 25% (from 12s).
\n- Engineered a deeply integrated system-level application within AOSP, enabling pre-installed capabilities that bypass runtime permission flows and ensure automatic relaunch on crashes.
\n- Built a real-time assistant feature that captures and streams device screen and camera feed, enabling users to interact with Copilot for live, context-aware assistance based on on-screen content and surroundings.
\n- Designed and implemented multimodal data processing pipelines combining visual, audio, and user interaction signals to enhance contextual understanding and improve assistant response relevance.
\n
"}},{"node":{"frontmatter":{"title":"Backend Intern","company":"CRED","location":"Banglore, India","range":"Jan - July 2024","url":"https://cred.club/"},"html":"\n- Worked in the consumer payment processes team focusing on scan-and-pay and peer-to-peer payments. Part of building a new service for handling beneficiary creation by listening to SQS events to manage beneficiaries, applying deduplication on VPAs and phone numbers to show recent history, and built a search API that can list based on various filters like account type, beneficiary type, and sort on various fields like last transacted time and updated at time
\n- Part of developing a feature for pinning contacts to improve M1 retention of New Transacting Users by 20-25%, aiming to increase the transactions per user in a month. Additionally\nimproved test coverage of the service from 10% to 90%
\n- Developed a configuration management module for scan-and-pay and peer-to-peer payments, aiming to centralize rule management and enable UI configurability within the application. Revamped the UPI collect flow to improve SR by 5% and discoverability by 10%
\n- Enhanced CPU utilization in case if any downstream services are down, the Hystrix thread now aborts as SocketTimeoutException is raised, each API call has been configured with certain socket timeout, preventing the Hystrix thread pool from becoming saturated
\n
"}},{"node":{"frontmatter":{"title":"AI/ML Intern","company":"Dvara Solutions","location":"Dharwad, India","range":"Aug - Dec 2023","url":"https://www.flipkart.com/"},"html":"\n- Worked on a multilingual chatbot enabling real-time conversion of native language to English text and subsequent responses, encompassing automatic speech recognition, text-to-speech generation, and machine translation functionalities
\n- Enhanced chatbot performance by integrating customized financial services documents as contextual inputs for the language model. Implemented dynamic API calls to efficiently access real-time user information from internal databases, thereby improving the bot’s ability to address user queries accurately based on user types
\n
"}},{"node":{"frontmatter":{"title":"SDE Intern","company":"Flipkart","location":"Banglore, India","range":"May - July 2023","url":"https://www.flipkart.com/"},"html":"\n- Developed and implemented a communication action on Incident Management System to facilitate the delivery of customer communications such as SMS, Email, and WhatsApp messages
\n- Incorporated multi-threading to improve the speed of outreach, created a guice module to facilitate dependency injection and binding configuration while writing unit tests
\n- Utilized core java to integrate the communication action with existing templates, workflows enabling the triggering of customer communication directly from the workflows, made a react website to show case the usage of the comm action created
\n
"}},{"node":{"frontmatter":{"title":"Teaching Assistant","company":"IIT Dharwad","location":"Dharwad","range":"Jan - April 2023","url":"https://iitdh.ac.in/"},"html":"\n- Assisted Prof. Rajshekar K, Prof. Ramchandra Phawade, and Prof. Nikhil Hegde in the delivery of the Introduction to Programming in C course, asssisted Prof. Bharath in the delivery of the Introduction to Programming in Python course offering assistance in both teaching and conducting lab sessions
\n- Provided valuable guidance and support to students during lab sessions, addressing their queries and assisting them with coding assignments
\n- Played a role in the evaluation process by participating in the grading of assignments and exams, and delivering constructive feedback to students to help them improve their performance
\n- Engaged in collaborative efforts with Prof. Bharath and other teaching assistants to design and develop course materials and activities, aiming to enrich the learning journey for students
\n
"}},{"node":{"frontmatter":{"title":"SDE Intern","company":"Flipkart","location":"Banglore, India","range":"May - July 2022","url":"https://www.flipkart.com/"},"html":"\n- Developed API for extracting data from template invoices, categorizing them, and converting to JSON using deep learning and OCR. Annotated 200 images for model training using a tool named LabelImg
\n- Implemented OCR-based invoice processing project to automate data extraction and categorization
\n- Created a website using Flask and MongoDB to showcase fields extracted from user-uploaded invoices
\n- Leveraged deep learning techniques, Flask, and MongoDB to build a robust and efficient invoice processing system
\n
"}},{"node":{"frontmatter":{"title":"Web Developer","company":"IIT Dharwad","location":"Remote","range":"May - July 2022","url":"https://iitdh.ac.in/"},"html":"\n- Part of design and development team of gymkhana website
\n- Created website which show cases information and resources related to sports, cultural activities, clubs, events, and student organizations
\n- The website was mostly created using ReactJs
\n
"}}]}}}