Work on Ravi Vats https://ravivats.github.io/work/ Recent content in Work on Ravi Vats Hugo en-us Thoughtworks https://ravivats.github.io/work/thoughtworks/ Mon, 01 Jan 0001 00:00:00 +0000 https://ravivats.github.io/work/thoughtworks/ Lead Data Scientist. Building production AI/ML systems — RAG pipelines, LLM fine-tuning, and data platforms for enterprise clients. Lead Data Scientist at Thoughtworks, Singapore.

]]> Grab https://ravivats.github.io/work/grab/ Mon, 01 Jan 0001 00:00:00 +0000 https://ravivats.github.io/work/grab/ Software Engineer, then Senior Software Engineer in the Deliveries organization — microservices handling 2M+ food and express delivery orders per day. I worked at Grab in Singapore, first in the GrabFood division and later across the wider Deliveries organization.

Senior Software Engineer (2021 – 2025)

  • Worked in the Deliveries organization on creating and enhancing gRPC and REST APIs and microservices that manage food and general delivery (express) orders from creation to completion, at a scale of more than 2 million orders per day.
  • Built a Python automation that analyzed AWS infrastructure spending patterns and used ML algorithms to highlight services with anomalous cost increases, then tuned the infrastructure of those services — reducing AWS infra cost across 7 microservices in my team by 30%.

Software Engineer (2019 – 2021)

  • Designed and implemented a partner-wise food-order-data streaming and collection pipeline used to share food-order data with big partners across all countries on a daily basis (Kafka, SQS, REST APIs).
  • Recognized twice as an employee who went “Above and Beyond” to deliver value to the firm (Feb 2020, Nov 2020).

Tech stack: GoLang, gRPC, Protobuf, Redis, Apache Kafka, Apache Flink, Terraform, GoMock, Testify, AWS (CloudFront, S3, Route 53, Lambda, Lambda@Edge, SQS)

]]> Morgan Stanley https://ravivats.github.io/work/morgan-stanley/ Mon, 01 Jan 0001 00:00:00 +0000 https://ravivats.github.io/work/morgan-stanley/ Technology Analyst, then Technology Associate in the Institutional Securities Tech division — data engineering pipelines for post-trade reporting on Apache Spark. After graduation I joined Morgan Stanley full-time, first as a Technology Analyst and then as a Technology Associate, in the Internal Trade Report Applications team of the Institutional Securities Tech (IST) division.

Technology Associate

  • Implemented data engineering pipelines fetching high-volume (~500 million rows/day) financial-trade data from files, streams, and databases onto Apache Spark, and ran data quality rules on it to generate post-trade reports.
  • Felicitated with the Rookie Award for being the best newcomer in the Institutional Securities Tech division (Apr 2019).

Technology Analyst

  • Completed the Technology Analyst Program (TAP) by Mallon Associates — covering operating systems, DBMS, data science, NLP, C++, Java, Scala, and financial-domain training (stocks, bonds, derivatives, markets).
  • Built a web-based dashboard collecting Securities Reference Data from multiple sources with visualizations on top (Angular 6, Java 8, Mocha, JUnit).

Tech stack: Apache Spark, Scala, Java 8, Angular 6, JUnit

]]> Morgan Stanley (Internship) https://ravivats.github.io/work/morgan-stanley-intern/ Mon, 01 Jan 0001 00:00:00 +0000 https://ravivats.github.io/work/morgan-stanley-intern/ Software Development Intern — real-time message pipelines for data-quality checks on financial orders. I interned at Morgan Stanley during my seventh semester in college, in the same division and team I later joined full-time.

  • Worked in data engineering, creating real-time message pipelines to perform real-time data quality checks on financial orders using business rules.

Tech stack: Apache Kafka, Java 8, Spring, JBoss Drools (rule engine), JUnit

]]> Robert Bosch https://ravivats.github.io/work/bosch/ Mon, 01 Jan 0001 00:00:00 +0000 https://ravivats.github.io/work/bosch/ Research Intern — home automation with MQTT/XMPP smart switches, AWS cloud, and embedded programming on Node MCU and Raspberry Pi. I worked at Robert Bosch Engineering & Business Solutions as a Research Intern after my sixth semester in college.

  • Worked on communication protocols like MQTT and XMPP to enable home automation by creating smart switches.
  • Worked on AWS cloud and developed an Android application through which users control IEDs (Intelligent Electronic Devices).
  • Wrote Lua programs for Node MCU and Raspberry Pi devices that receive instructions from the Android application and map them to IED actions.
]]> Yoska Technologies https://ravivats.github.io/work/yoska/ Mon, 01 Jan 0001 00:00:00 +0000 https://ravivats.github.io/work/yoska/ Mobile App Development Intern — built features for the 'Yoska Coach' Android app connecting coaches and athletes. I worked at Yoska as a Mobile App Development Intern after my fourth semester in college, on the company’s Android app Yoska Coach — a medium for coaches to monitor and train their athletes while seamlessly interacting with them.

Areas I worked on:

  1. Image downloading and caching
  2. Profile activities for coach and athlete
  3. Call and message functionality
]]> ICUCS, Ramaiah Institute of Technology https://ravivats.github.io/work/icucs/ Mon, 01 Jan 0001 00:00:00 +0000 https://ravivats.github.io/work/icucs/ Mobile & Web Application Developer — built the 'Tally Report Genie' app surfacing live Tally ERP accounts data to business owners. I worked at the Incubation and Consultancy Unit (ICUCS) of Ramaiah Institute of Technology as a Mobile and Web Application Developer during college.

I worked on Tally Reports, which automatically fetches a company’s accounts data from Tally ERP on any change and displays it to the company owner in a mobile app.

Areas I worked on:

  1. Report retrieval from Tally ERP
  2. Data retrieval from the server
  3. UI/UX — populating charts, ListViews, and CardViews of the “Tally Report Genie” app
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