Aug 2024 – May 2025 · 9 mos · Remote

• 1. Educational conference call web app with AI
• Languages worked in: Typescript
• Technologies Used: React, NestJS, HeyGen API, Web Speech API, Websockets, GCP [Cloud Run]
• 2. ArangoDB optimisation for Schwettmann Technologies
• Languages worked in: AQL, JAVA
• Technologies used: ArangoDB, Docker
• 3. DSP prototype for BLKBOX.AI
• Languages worked in: Typescript
• Technologies used: NestJS, React JS, Docker

Sep 2023 – Jul 2024 · 10 mos · Bengaluru, Karnataka, India · On-site

• Worked on DSP and ad creative studio within a Ad Tech Platform
• Languages worked in: Python, Javascript, Rust, Bash
• Technologies used: Pyramid, Vue JS, Mongo DB, Docker, AWS, Python Fab, LMDB, Celery, Luigi
• Took up the following roles:
• 1. Onboarding new hires with the technology stack and enhancements
• Specific enhancements done:
• 1. Validation of campaign setup data for Ad Targeting
• 2. Enhance ad bidder with custom campaign fields
• 3. Enable dsp platform with: app store level bundles filtering, app content rating, device ifa bins

Mar 2022 – Aug 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Worked on ML Ops frameworks and collaborative data science app
• Languages worked in: Python, Typescript, Bash
• Technologies used: Fast Api, React JS, Mongo DB, Docker, Amazon EKS, Amazon EC2, Helm,
• Terraform
• Took up the following roles:
• 1. Owner of notebook web app and airflow setup
• 2. Mentoring interns on projects. Helping new hires with the technology stack and enhancements
• 3. Presented in workshop on Markov Notebook App in Tech Summit
• Apps built from scratch:
• 1. Jupyter Notebook - web app to serve Jupyter Notebooks provided by jupyter
• 2. Airflow - integrated async platform for internal cronjobs
• Specific enhancements done:
• 1. Dataset registration and workflows from web app
• 2. Manual upload of Datasets from web app using aws signed urls
• 3. Estimation of runtime for Analysis jobs on Datasets

Mar 2021 – Jan 2022 · 10 mos · Gurugram, Haryana, India

• Worked on reporting and analytics framework.
• Languages worked in: Typescript, Javascript, Python, Bash, Sql
• Technologies used: React JS, GraphQl, Node Js, PostgreSql, Docker, Amazon EC2, Amazon
• Redshift, Terraform
• Took up the following roles:
• 1. Co-owner of ETL pipeline which handles around 10 million new records everyday
• 2. Owner of support tool framework
• 3. Helping new hires with the technology stack and enhancements
• 4. Took tech sessions on Amazon Redshift and Query Builder
• Apps built from scratch:
• 1. Query Builder - database agnostic web app for Analytics
• 2. Support Tool - web framework for adding actions which are needed for customer support queries
• Specific enhancements done:
• 1. Adding Secret Manager to ETL pipeline
• 2. Enhanced ETL pipeline with new reports/tables
• 3. Added a tool to internal app to authorise API requests and manage API permissions

Jun 2018 – Feb 2021 · 2 yrs 8 mos · Bengaluru, Karnataka, India

• Worked on indexing ads playing on television channels in US
• Apps built from scratch:
• 1. Tracking app to track connection requests from various tv devices to internal servers
• 2. A web framework for creating, scheduling and managing tasks
• Enhancements done:
• 1. Implementation of feedback loop on temporal video databases
• 2. Automatic detection of brand in ads using logo detection and OCR based information retrieval
• 3. Enhancing deduplication of ads from a single group to across various groups
• 4. Enhancing ad airing data to have first and last airing date for each commercial
• Took up the following roles:
• 1. Designing, implementing and maintaining a distributed system to clip ads that play on tv. Used workflow model as a design pattern. The system clipped ads from 400 tv channels in US.
• 2. Mentoring new hires with understanding the technology stack and helped them with enhancements/new features
• 3. Took interviews as part of the hiring process
• Technologies used: MongoDb, Sql Db, Elasticsearch, RabbitMq, Kafka, Node js, Docker, Graylog, React Js
• Languages worked in: Javascript (Primarily), C++, Bash, Sql

Jan 2018 – Apr 2018 · 3 mos · Greater Allahabad Area

• Took tutorial classes of a batch of 15 students. Helped them solve basic programming problems and mentored them.

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

• 1. Built an OS X app to semi-automate web tasks (like filling forms on portals) in python using
• libraries like tkinter, threading etc and the company’s internal scrape framework.
• 2. Implemented a basic search engine that returns top relevant django urls of company’s internal development portal based on a search query using Elasticsearch