---
title: "Aswia Simeen - Artificial Intelligence Engineer in Bengaluru | Tal"
description: "Meet Aswia Simeen, AI Engineer based in Bengaluru. AI stack includes anthropic apis, claude code, and elevenlabs."
image: "https://tal.club/meet/aswia-simeen/share-image"
---

# Aswia Simeen on Tal

## Headline

AI Engineer

## About

I build systems that sit at the edge of backend engineering and AI — the kind of work where a poorly designed retrieval pipeline or a missing retry layer shows up in production before anyone notices\. For the past two years at Framsikt, I've worked across \.NET 8, Azure, and LLM tooling — cutting report latency by 70%, building a distributed notification engine on Azure Service Bus that hits 99\.9% delivery reliability, and shipping an MCP\-based debugging tool that lets AI agents inspect live browser state and resolve issues autonomously\. The domain is sustainability analytics and public\-sector reporting, which means correctness and reliability aren't nice\-to\-haves\. Outside of work I'm building things: a multimodal RAG agent that hit 90% retrieval accuracy, and a full\-stack e\-commerce platform in Go and React from scratch\. Both on GitHub\. I graduated with a 9\.1 GPA in CS, hold Azure certifications, and am based in Bengaluru\. Open to roles in AI engineering, backend systems, or full\-stack GenAI — especially teams that care as much about how things are built as whether they ship\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

elevenlabs

gemini

github copilot

kimi

## Work experience

Artificial Intelligence Engineer at STG Labs, Jul 2026 \- Present · 2 mos

Software Engineer at Framsikt AS, Apr 2024 \- May 2026 · 2 yrs 2 mos, Bengaluru, Karnataka, India, Engineered an AI\-augmented CI/CD system by integrating GitHub Copilot into Azure DevOps pipelines, automating bug triage and feature scaffolding — slashing per\-feature development time by 40% across production modules\. Pioneered a production debugging workflow using MCP \(Model Context Protocol\) \+ Chrome integration, enabling LLMs to inspect live DOM state and autonomously resolve complex frontend issues — reducing debugging turnaround time by 30% and eliminating an entire category of escalations\. Eliminated critical API bottlenecks through deep SQL optimization — JOIN restructuring, index tuning, and redundant table removal reduced document export time by 50%, directly unblocking a high\-priority client delivery\. Spearheaded migration of synchronous \.NET services to async/await architecture, eliminating thread\-blocking bottlenecks and improving system throughput by \~40% under concurrent production workloads\.

Java Full Stack Intern at keyboor, Jun 2023 \- Mar 2024 · 10 mos, Full\-Stack Architecture: Engineered a production\-grade project management platform with a Spring Boot backend leveraging Java Virtual Threads for high\-concurrency REST and WebSocket handling — featuring a configurable workflow engine, domain\-driven service layer with Repository and Strategy patterns, and Spring Data JPA with Hibernate persistence backed by PostgreSQL\.– Real\-Time & Frontend Delivery: Built a React/TypeScript frontend with drag\-and\-drop Kanban boards and live WebSocket sync; integrated Redis for rate limiting and user presence, enabling real\-time collaborative planning for engineering teams

## Education

Bachelor of Technology \- B Tech \( Honors in AI/ML\), Cse, G\. Pulla Reddy Engineering College

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

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