---
title: "Ashish Singh - Software Engineer in Bengaluru | Tal"
description: "Meet Ashish Singh, Software Engineer | GenAI | Scalable Solutions based in Bengaluru. AI stack includes antigravity, claude code, and cursor. Explore public work links including github and ashishsingh.space."
image: "https://tal.club/meet/ashish-kumar-singh-5/share-image"
---

# Ashish Singh on Tal

## Headline

Software Engineer \| GenAI \| Scalable Solutions

## Location

Bengaluru

## AI stack

antigravity

claude code

cursor

kimi

langchain

langgraph

## Work experience

Software Engineer at vormirex, Nov 2025 \- Present · 1 yr, Bengaluru, Karnataka, India, \- Owned end\-to\-end delivery of a production learning platform \(React, Redux Toolkit, REST APIs\) with Docker, Docker Compose, Vercel, CI/CD, and preview deploys\. \- Built agentic Retrieval\-Augmented Generation \(RAG\) with LangGraph and Amazon Bedrock, using PostgreSQL with pgvector and a KV cache in the RAG path \(about 40% faster repeat retrieval\), plus a Tavily web tool and \- NVIDIA NeMo Guardrails with prompt sanity on input, retrieval, and output\. \- Shipped an in\-lecture helper chatbot with timestamped grounding and human\-in\-the\-loop so the agent could pause, ask a clarifying question, and continue from that point in the video\. \- Owned the lecture\-to\-knowledge pipeline: OpenAI Whisper transcription, LlamaParse document extraction, timestamped chunking, pgvector indexing, and grounded in\-lecture Q&amp;A\. \- Ran RAG evals with Ragas and TruLens \(faithfulness, relevancy, groundedness\) and production tracing with Langfuse; shipped knowledge\-level recommendations and course auto\-optimization\. \- Built an in\-house Material UI \(MUI\) design system with 25\+ reusable components and page templates used across course and dashboard screens\. \- Moved the backend to a stateless, event\-driven design with Celery workers, Celery Beat, Redis as the broker, and request queuing so burst chat, RAG, and upload traffic was drained without dropping work or overloading Bedrock\. \- Implemented JWT, Role\-Based Access Control \(RBAC\), and Single Sign\-On \(SSO\) for students, instructors, and admins; hardened APIs with rate limiting, throttling, and sanitization; used Amazon RDS, Amazon S3, and Amazon ElastiCache \(cached hits under 200ms\)\.

SDE Intern at Auctopus Technologies, Aug 2025 \- Oct 2025 · 3 mos, Delhi, India, \- Built automated Python ingestion/ETL pipelines that streamed and parsed configuration telemetry from 500\+ endpoints into validated, standardized JSON schemas\. \- Implemented PostgreSQL pgvector similarity indexing and heuristic validation to flag configuration anomalies, improving automated detection accuracy to 92%\. \- Added Postman regression suites into CI and reviewed PRs for pipeline changes, cutting manual triage cycles by ∼40%\.

## Education

Master's degree, Computer Programming, Specific Applications, CHANDIGARH UNIVERSITY

## Public links

- github: https://github\.com/Ashish4895
- ashishsingh\.space: https://ashishsingh\.space/

[View the original profile](https://tal.club/meet/ashish-kumar-singh-5)

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