---
title: "Bhupendra Huidrom - Software Engineer in Bengaluru | Tal"
description: "Meet Bhupendra Huidrom, Software Engineer @ BOTmantra based in Bengaluru. AI stack includes claude code, claude, and langchain."
image: "https://tal.club/meet/bhupendra-huidrom/share-image"
---

# Bhupendra Huidrom on Tal

## Headline

Software Engineer @ BOTmantra

## About

I am a Backend Engineer specializing in building scalable APIs, LLM\-powered retrieval systems, and automated data pipelines\. At 2070 Health, I design high\-performance systems that combine backend engineering, vector databases, and applied machine learning\.Recently, I built a multi\-vector semantic search engine using FastAPI, Qdrant, and OpenAI embeddings, improving candidate retrieval precision by 60% across 250K\+ resumes\. I also integrated GPT\-4\.1\-mini based reranking pipelines, reducing inference latency by 94% and boosting relevance scores through structured prompt engineering\.My experience spans:• Designing LLM/RAG retrieval pipelines• Building versioned MLflow\-Qdrant evaluation systems• Implementing ETL/ELT workflows \(Airbyte → Redshift → DBT → Superset\)• Creating secure AWS Lambda APIs with presigned S3 URLs• Developing Slack/Outlook/Teams scheduling automation that cut HR workload by 75%I enjoy solving hard engineering problems at the intersection of backend systems, data engineering, and AI\.Always open to collaborating, learning, and building impactful products\.

## Location

Bengaluru

## AI stack

claude code

claude

langchain

langgraph

## Work experience

Software Engineer at BOT mantra, Feb 2026 \- Present · 10 mos, Bengaluru, Karnataka, India

Software Development Engineer 1 at 2070 Health, May 2024 \- Jan 2026 · 1 yr 9 mos, Gurugram, Haryana, India, • Built a multi\-vector semantic search engine \(FastAPI \+ Qdrant \+ OpenAI embeddings\) improving candidate discovery speed by 60% across 250K\+ resumes\. • Created NLQ\-based parameter extraction, UUID tagging, and Postgres query logging, improving search interpretability and audit traceability by 40%\. • Enhanced Qdrant with custom weighted\-fusion modules and reranking logic, boosting top\-N precision by 30%\. • Delivered a secure resume\-retrieval API using AWS Lambda, API Gateway, Authorizer, and presigned S3 URLs, enabling scalable, permissioned file access\. • Automated LinkedIn activity ingestion with Sheets \+ PhantomBuster \+ MongoDB/Postgres upserts, cutting ops work by 70% and achieving 0 duplicate processing\. • Migrated n8n automations into Python ELT pipelines \(Zoho → Redshift\), increasing reliability and reducing deployment overhead by 65%\. • Built a PageSpeed monitoring pipeline \(Airbyte → Redshift → DBT → Superset\) reaching 90–95% automation and reducing manual reporting by 95%\.

Graduate Engineer Trainee at Ericsson, Jan 2024 \- May 2024 · 5 mos, India

## Education

Bachelor of Technology \- BTech, Computer Science, sikkim manipal institute of technology

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

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