Feb 2024 – Present · 2 yrs 3 mos · Delhi, India · Hybrid

• Consulting YC Companies like TrueFoundry, DrDroid on CloudNative Tools
• Showcase: TrueFoundry's Auto Shutdown Feature
• I create a auto scaling Kubernetes operator, with zero requests lost.
• Kubernetes do provide auto scaling, but it has only two trigger parameters, RAM and CPU. It won't scale a service if it's running out of available PORTs, as long as RAM and CPU are available. Community created a solution KEDA, it does auto-scale on any custom parameters, but it doesn't handle/queue any request which comes in while a service is being scaled up. Those requests are lost.
• To solve this, I created a Kubernetes operator, which is cloud agnostic, allows developers to auto scale services, with custom parameters and no lose of any requests. It's super fast to integrate, with just 2 commands.

Sep 2022 – Jan 2024 · 1 yr 4 mos · On-site

• Observability & Monitoring: Set up Grafana + Prometheus & created a library to auto-export API metrics in Gin, leading the migration to monitor all codebases for reliability.
• Infra & Performance Optimisation: Managed Kubernetes-deployed internal tools & streamlined the API gateway by configuring & benchmarking NGINX vs. Kong, reducing latency. Built a standardised authentication layer to centralize security, simplifying authentication management for all services.
• Load Testing: Built a load-testing framework using k6 with Prometheus reporting to improve performance metrics.
• Team Leadership: Architected subscription service & lead the team. supported hiring through 100+ technical interviews.
• Tech Stack
• Languages: Golang, Python
• DevOps: Kubernetes, Docker, Linux, NGINX, Terraform, GCP, CI/CD, Prometheus, Grafana, Istio, PagerDuty, Helm, Kong
• QA: k6, Locust
• Security: Burp Suite
• Databases: MongoDB, Redis, PostgreSQL
• Messaging: Kafka, PubSub, NATS
• Big Data: Airflow, Jupyter, BigQuery

Nov 2021 – Sep 2022 · 10 mos · On-site

• Data Pipelines: Built robust data pipelines using self-managed Airflow & Hevo, feeding into custom dashboards via a self-hosted Redash for cross-team product analytics.
• Incident Management: Developed incident response runbooks in Jupyter Notebooks to resolve recurring issues, streamlining incident management & reducing MTTR.

Oct 2020 – Nov 2021 · 1 yr 1 mo · On-site

• Payment Systems: Architected & implemented a scalable, secure payment system, handling 30M+ daily transactions with end-to-end oversight. Integrated multi-gateway support (RazorPay, Stripe, Apple), advanced fraud detection, KYC verification, & automated reconciliation. Enhanced transaction security with fraud detection, auto-blocking for suspicious beneficiaries, & withdrawal limits.
• Notification System: Designed a high-throughput notification platform & built an admin interface in React, enabling targeted user engagement.

May 2020 – Aug 2020 · 3 mos · Remote

• Organization: 𝗡𝘂𝗺𝗙𝗢𝗖𝗨𝗦
• Project: 𝗻𝘁𝗲𝗿𝗮𝗰𝘁
• Technology: TypeScript . ReactJs . NodeJs . Jupyter Notebook
• I created a project to support reproducible computing using nteract and Binder—the ability to start an interactive notebook session via a unique URL, with content provided by any version control system and executed in a remote environment.

Mar 2020 – May 2020 · 2 mos · Remote

Jan 2020 – Mar 2020 · 2 mos · New Delhi, Delhi, India

• Department: 𝗙𝗼𝗿𝗲𝗻𝘀𝗶𝗰𝘀 𝗗𝗲𝗽𝗮𝗿𝘁𝗺𝗲𝗻𝘁 𝗼𝗳 𝗡𝗲𝘄 𝗗𝗲𝗹𝗵𝗶
• Sub-Department: 𝗕𝗮𝗹𝗹𝗶𝘀𝘁𝗶𝗰𝘀 𝗗𝗶𝘃𝗶𝘀𝗶𝗼𝗻
• Technology Used: Flask, Python, API, Vuejs, SQL, Computer Vision
• I worked in a team to develop an internal ballistic management tool from scratch. I lead the development of the first working prototype of the application and test it with real data.

Jun 2019 – Sep 2019 · 3 mos · Remote

• Technology Used: Nodejs, Kafka, Redis, React.
• I worked on an early stage SAAS application to manage projects and teams together.

Sep 2018 – Nov 2018 · 2 mos · Delhi, India

• Technology Used: Typescript, Angular, Python, Golang.
• As a part of the Growth Engineering Team, I worked closely with the marketing team to achieve monthly KPIs. I also took the lead in many weekly campaigns and developed required pages/infrastructure for it. I also created an internal tool for the team to upload their daily/weekly sheets and update the database with new data.

Jun 2018 – Aug 2018 · 2 mos · Gurgaon, India

• Worked on optimizing the current app, decrease O(n) to O(1) by making asynchronous functions, upgraded from angularJs to angular 5, wrote module to debug the app.