Headline

SDE @Gigstaan | Ex-@Pharmeasy | AI Engineer | Data Scientist | ML & RAG | VIT

About

Software Development Engineer with 1.5+ year of experience building production-grade backend systems, distributed microservices, and AI-powered applications. Currently working as an SDE-1 at Gigstaan, building multi-tenant REST APIs, LLM-powered recommendation systems using AWS Bedrock and pgvector, and milestone-based payment & escrow workflows. Previously interned at PharmEasy, delivering B2B API suites, Redis-based rate limiting, distributed request locking, and OWASP-compliant security fixes. Also worked as an AI Engineer at Rofolin, building agentic AI platforms and production RAG pipelines using LangGraph, FAISS, and Sentence Transformers. Tech stack: Python, TypeScript, Java, Node.js, FastAPI, Spring Boot, REST APIs, Microservices, PostgreSQL, MySQL, MongoDB, Redis, Docker, Kubernetes, AWS, LangChain, LangGraph, AWS Bedrock, pgvector, FAISS, Hugging Face, Pandas, NumPy, Git. B.Tech CSE, VIT Chennai | AWS Certified Cloud Practitioner. Open to Software Development Engineer, Backend Engineer, AI Engineer, and Platform Engineering roles.

Location

Bengaluru

AI stack

antigravity

claude code

codex

cursor

gemini

hugging face

Work experience

Software Engineer at Gigstaan, Jun 2026 - Present · 3 mos, Bengaluru, • Full-Stack Feature Delivery: Shipped 20+ end-to-end features across a Next.js/React web app and React Native mobile client on Node.js and TypeScript services, exposing multi-tenant, role-scoped REST APIs from a single versioned contract serving both surfaces. • Payments & Escrow: Built milestone-based bidding and payout workflows on Cashfree — order creation, idempotent webhook reconciliation, refund and failure recovery over a normalized PostgreSQL escrow ledger that kept freelancer–client transactions auditable. • Data Layer & Reliability: Wrote type-safe Kysely queries and validated schema migrations against production-like snapshots for zero-downtime releases; cut regression escapes with integration test suites and a shared component library reused across web and mobile.

Backend Developer intern at PharmEasy, Sep 2025 - May 2026 · 9 mos, Bengaluru, • B2B API Suite: Designed and delivered B2B backend APIs (orders, reports, authentication, catalog) with validation,filtering, pagination, and guard-based authentication, enabling scalable partner integrations across distributed microservices on Linux/Unix infrastructure. • Rate Limiting & Request Locking (Products API): Implemented Redis-based rate limiting and concurrent request locking for the Products API, eliminating duplicate requests and enforcing per-minute API usage quotas; resolved production bugs by restructuring controller flow for safe Redis key lifecycle management. • Security — IDOR Fix: Eliminated a critical IDOR vulnerability in Radiology order APIs by enforcing JWT-based ownership validation and HTTP 403 access control, blocking 100% of unauthorized access attempts and aligning with OWASP security best practices.

AI Engineer at Rofolin, Jun 2025 - Aug 2025 · 3 mos, Remote, • Multi-Agent Marketing Platform: Built a Python-based AI automation system with specialized LLM agents (research, trend analysis, content generation) orchestrated via a central controller, automating end-to-end data driven marketing campaigns. • RAG Pipeline: Engineered a production-grade RAG pipeline using FAISS vector search and Sentence Transformers, backed by a FastAPI service and real-time analytics dashboard; enabled context-aware LLM content generation at scale on Linux cloud infrastructure.

Education

Cse, Computer Science, Vellore Institute of Technology

Bachelor of Technology, Computer Engineering, Vellore Institute of Technology

Public links

github: https://github.com/anshikmantri77