Skip to main content
Snehasis Shit

Snehasis Shit

Full-stack engineer with hands-on experience building and shipping production systems

Talent
KolkataMember since July 2, 2026
Next.jsNode.jsTypeScriptPostgreSQLRedisBullMQCloudflareAWSGCPGemini APIClaude CodeCodexAI Gateway
·

Hire this person

Send a job offer directly to this candidate

Next.jsNode.jsTypeScriptPostgreSQLRedis

About

Full-stack engineer with hands-on experience building and shipping production systems used by real clients — including a multi-tenant e-commerce engine serving 10 stores, an AI spec generation platform, and an AI resume builder. Comfortable owning entire features end-to-end, from database schema to deployed UI. Experienced with modern full-stack tooling (Next.js, Node.js, PostgreSQL, Redis, Cloudflare) and AI/LLM integration.

Looking to join an early-stage team where I can build fast, think in systems, and own meaningful product surface area.

Experience

Software Engineer at TFCakes (2025-12 – Present)

  • Migrated a 5,000-SKU e-commerce platform from a legacy.NET stack to Next.js and PostgreSQL on AWS, achieving full cutover with only ~19 minutes of total downtime
  • Eliminated N+1 query patterns across admin APIs, optimized database queries, and built a custom look-aside caching layer — reducing page load times by 23%
  • Built a real-time vendor auto-assignment engine scoring vendors on acceptance rate, delivery time, and ratings — eliminating manual assignment across 26 stores

Full Stack Developer at Manpasand US (2024-10 – 2025-02)

  • Built the full web presence end-to-end for a US/UK artist management company — including artist profiles, event listings, and a booking request flow covering 22 artists and 7 major cross-country tours
  • Developed an internal CMS and admin panel enabling non-technical staff to manage artist rosters, bookings, and event schedules without engineering involvement

Data Engineer at Nightstar Partners (2025-06 – 2025-09)

  • Optimized stored procedures with views and indexes on a legacy database, reducing query execution time from 35 seconds to 2 seconds

Education

B.Tech in Computer Science – Heritage Institute of Technology (2023-09 – 2026-07)

Reviews

Related