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Ankur Singh

FULLSTACK & INFRASTRUCTURE ENGINEER

hello@anks.in anks.in github.com/rush-skills linkedin.com/in/ankursingh13

Summary

I'm a software engineer based in Bangalore, India with 8+ years of experience across distributed systems, cloud infrastructure, and product development. I'm comfortable across the stack - from system internals to frontend applications.

I spent 2.5 years at CERN in Geneva managing a 250,000-core compute cluster and building self-healing automation. Before that, I worked on HPC systems at Tower Research Capital and analytics platforms at Myntra.

Today I consult through TheServerlessDev — building AI pipelines, 3D visualization platforms, and serverless backends. I'm also a maintainer and TSC member for StackStorm, and I build open source tools like WSC and VisTracer.

Experience

Freelance Engineer · TheServerlessDev

Mar 2023 – Present

Remote / Bangalore, India

Building AI pipelines, 3D visualization platforms, and serverless backends for startups and SMEs. Clients include Pixotronics (iJewel Studio), LearnWithAI, and multiple jewelry e-commerce brands (including Imagine Designs, Roman & Jules). Won Square + Google AI Hackathon 2023 with SquareCubed.

Python · TypeScript · Next.js · Astro · Cloudflare · Supabase · AWS Lambda

Computing Fellow · CERN (European Organization for Nuclear Research)

Sep 2020 – Feb 2023

Geneva, Switzerland

Managed 250K-core distributed batch cluster. Built fault-tolerant auto-remediation with StackStorm. Automated support workflows, reducing manual effort and improving uptime. Presented at HEPiX .

Python · Ruby · StackStorm · Puppet · Docker · Kafka · Kubernetes · Terraform

Software Engineer, HPC · Tower Research Capital

Jun 2018 – Jul 2019

Gurugram, India

First HPC engineer in India. Administered 30K+ core HTCondor clusters for trading research. Built real-time monitoring with ELK (50M events/day). Contributed to 500-node K8s migration. Managed petabyte-scale storage systems.

ELK Stack · InfluxDB · Kubernetes · GPFS · Grafana · SaltStack · CFEngine

Software Engineer, BI/Analytics · Myntra (Flipkart)

Jul 2017 – Jun 2018

Bengaluru, India

Built analytics platforms for India's largest fashion e-commerce. Enhanced dashboarding platforms used by CXOs. Reduced Personify segmentation from hours to minutes for 100M customers.

Java · Spring · Hibernate · Redshift · AWS · Redis · MySQL

Selected Projects

ComicAdda — India's standup comedy discovery platform

comicadda.com

Discover Indian standup comedians by language, city, and style. Watch tracking, ratings, follow system, and personalized newsletters. Entirely built using AI agents orchestrating parallel development and data-mining workflows.

Dubai Deals — Restaurant deals aggregator for Dubai

dubaideals.live

Aggregates dining discounts from Careem, Zomato, Talabat, and other delivery apps into one searchable, location-aware interface, so you can compare every dining deal in Dubai without opening each app individually.

iJewel Studio — 3D jewelry rendering platform

ijewel.studio

Platform for jewelry designers to upload, optimize, and render 3D models with photorealistic quality. Features Blender-based mesh optimization, async job queues, and scalable serverless backend.

SquareCubed — AI-assisted 3D showroom for Square stores

devpost.com/software/aisquar3d

Virtual 3D showroom for Square e-commerce stores using Vertex AI for product understanding and WebGi for real-time rendering. Won Square + Google AI Hackathon 2023 ("Best reinvention of in-person & online experiences").

Skills

Languages: Python, JavaScript, TypeScript, Bash, Java, SQL, Golang, Ruby, C

Frameworks & Libraries: Django, FastAPI, Flask, Rails, Spring Boot, React, Next.js, SvelteKit, Astro, Hono

DevOps & Cloud: Docker, Kubernetes, AWS, GCP, Terraform, Helm, Puppet, Ansible, StackStorm, CI/CD

Databases & Storage: PostgreSQL, MySQL, MongoDB, Redis, Redshift, SQLite, Cloudflare D1

Education

B.Tech, Computer Science & Engineering · IIIT Delhi, New Delhi

2013 – 2017

Gold Medal: Best B.Tech Project

Generated from the live content at anks.in/cv