// systems engineer — new delhi, india

Ankur Kumar Singh

Software Engineering · Distributed Systems

Backend engineer building low-latency, horizontally scalable systems. Distributed messaging, streaming pipelines, and the algorithms that make them fast.

users onboarded in month one
5000+
core-msg availability under failure
100%
site load speed improvement
50%
DSA problems solved · Knight
600+

about

I build low-latency, horizontally-scalable systems — distributed messaging, streaming pipelines, and the algorithms that keep them fast.

I'm a Software Engineering undergrad at DTU (B.Tech SE, 2027) focused on backend and systems work — Redis Pub/Sub, Kafka decoupling, WebSockets presence, fault-tolerant monorepos. I've shipped these in production as an AI Associate Intern at NMG Technologies and a web development intern at IIT Ropar (VLED Labs).

On the algorithmic side I hold Knight status on LeetCode (peak rating 1912, top 5%) and have solved 600+ problems across platforms — the same rigor I bring to distributed systems design and low-latency engineering.

I care about uptime, throughput, and clean failure modes: building systems that stay alive when infrastructure doesn't.

kumarankursingh6@gmail.com

// experience

Where I've shipped

  1. 01 / 02

    AI Associate Intern

    NMG Technologies · New Delhi, India

    Serverless platform engineering on Astro + Supabase for a centralized hackathon registration system.

    • Architected a unified registration platform replacing 5+ isolated event forms, onboarding 5000+ users in month one on infrastructure built for 50,000+ monthly registrations.

    • Automated 100% of user notifications across 3 lifecycle stages via Supabase PostgreSQL triggers, Edge Functions, and the Brevo API — saving 21+ hours of manual ops per event.

    • Accelerated site load speed by 50% and improved UX metrics by 30% with lightweight metadata placeholder frames served before asset hydration.

  2. 02 / 02

    Web Development Intern

    IIT Ropar (VLED Labs) · Remote

    NPTEL internship on a core MERN-stack application — React, TypeScript, Express, Node.js.

    • Shipped 10+ responsive frontend features adopted across 6+ screens, translated into reusable architectures.

    • Integrated 12+ REST API endpoints with frontend clients for reliable state management and data hydration.

// projects

Things I've built

Selected systems — shipped, deployed, and running in production

  1. 01 / 06

    Vortex: Distributed Real-Time Chat System

    ★ featured

    Horizontally scalable real-time messaging on a Kafka + Redis backbone.

    Distributed chat platform designed for scale: Redis Pub/Sub for cross-server Socket.IO broadcast, Apache Kafka decoupling high-throughput ingestion from PostgreSQL persistence, TurboRepo monorepo deployed across Vercel and Render.

    Node.js · TypeScript · Socket.IO · Redis · Kafka · Prisma · PostgreSQL · Next.js

    • Sustained 100% core-messaging availability during Redis/Kafka outages via graceful fallback to direct broadcast.

    • Founded fault tolerance with graceful degradation across a TurboRepo monorepo.

  2. 02 / 06

    Synapse: Research & Literature Discovery Platform

    ★ featured

    Full-stack research platform with role-based access and a PubMed search pipeline.

    Research collaboration platform with RBAC across 3 roles and JWT auth. Literature search integrates the NCBI PubMed API with a custom XML parser and caching layer.

    React · TypeScript · Node.js · Express · MongoDB

    • Improved team collaboration efficiency by 40% with role-based access control (RBAC) and JWT auth.

    • Cut redundant upstream API calls by 60% via a custom PubMed XML parser and caching layer.

    • Boosted search recall by 35% on plain-language queries with a MeSH/UMLS query-expansion engine.

  3. 03 / 06

    LoveAI: Persona-Adaptive AI Chatbot

    Fine-tuned LLM that steers responses across 16 psychological personas.

    Full-stack AI chatbot that derives user psychological personas from a 30-question matrix. Fine-tuned a Mistral base model with QLoRA (4-bit) + Hugging Face PEFT on 150,000+ dialogue pairs, with DPO emotional alignment and pgvector RAG.

    React · Node.js · PostgreSQL · Mistral · QLoRA · AWS

    • Fine-tuned Mistral with QLoRA (4-bit) and PEFT on a 150,000+ pair corpus with DPO emotional alignment.

    • Integrated pgvector-backed RAG for dynamic context injection.

  4. 04 / 06

    Omnichannel Customer Support Suite

    Real-time multi-tenant helpdesk with an autonomous AI triage agent.

    Enterprise helpdesk using WebSockets for zero-latency live messaging and presence. Multi-tenant Prisma schema enforcing RBAC and strict data isolation; LangChain agent triages tickets with semantic vector search for automated L1 resolution.

    React · Node.js · PostgreSQL · WebSockets · Prisma · LangChain

    • Built real-time messaging + presence with WebSockets across concurrent sessions.

    • Enforced RBAC and tenant-data isolation with a multi-tenant Prisma schema.

    • Integrated a LangChain agent for automated Level-1 ticket triage via vector search.

  5. 05 / 06

    Hermes-OpenClaw Agent Orchestrator

    Agentic orchestration layer with autonomous tool-calling, deployed on DigitalOcean.

    Engineered an agentic orchestration layer using local LLMs (Hermes/OpenClaw) with autonomous tool-calling and multi-step reasoning pipelines to resolve compound queries. Inference engine + agentic backend deployed on a DigitalOcean droplet with robust REST endpoints.

    Python · DigitalOcean · LLM Agents · API Design

    • Implemented autonomous tool-calling and multi-step reasoning pipelines for compound queries.

    • Deployed inference on a DigitalOcean droplet exposing REST APIs for external clients.

    • GTM-focused modular architecture for fast adaptation across use cases.

  6. 06 / 06

    Pocket FM — Strategic Analysis

    In-depth market & retention case study for the audio OTT platform.

    Comprehensive strategic case analysis for audio OTT platform Pocket FM: market penetration opportunities, user-retention strategies, and content-consumption trend evaluation for targeted growth.

    Strategy · Market Research · Data Analysis

    • Evaluated market penetration opportunities and user-retention strategies.

    • Proposed actionable growth initiatives from content-consumption trend analysis.

skills

Languages

C++ · Python · TypeScript · JavaScript · SQL

Backend & Infra

Node.js · Express · Socket.IO · Kafka · Redis · Docker · AWS

Data & Storage

PostgreSQL · pgvector · MongoDB · Prisma · Supabase

Systems & CS

OS · Networks · DBMS · System Design · DSA · Low-Latency Systems

ML / AI

LangChain · Hugging Face · QLoRA · RAG

contact

Open to backend & systems engineering roles in quant / low-latency trading.