---
title: "Anshik Mantri - Software Engineer in Bengaluru | Tal"
description: "Meet Anshik Mantri, SDE @Gigstaan | Ex-@Pharmeasy | AI Engineer | Data Scientist | ML & RAG | VIT based in Bengaluru. AI stack includes antigravity, claude code, and codex. Explore public work links including github."
image: "https://tal.club/meet/anshik-mantri/share-image"
---

# Anshik Mantri on Tal

## Headline

SDE @Gigstaan \| Ex\-@Pharmeasy \| AI Engineer \| Data Scientist \| ML &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; 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

[View the original profile](https://tal.club/meet/anshik-mantri)

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