---
title: "Hritik Jaiswal - AI Engineer (Team Lead) in Hyderabad | Tal"
description: "Meet Hritik Jaiswal, AI Engineer @ dAIgnostiX | ML Engineer | GenAI • RAG • LLM • MLOps | Python • FastAPI • Docker | M.Tech (IISc Bangalore, ’23) based in Hyderabad. AI stack includes codex and opencode."
image: "https://tal.club/meet/hritik-jaiswal/share-image"
---

# Hritik Jaiswal on Tal

## Headline

AI Engineer @ dAIgnostiX \| ML Engineer \| GenAI • RAG • LLM • MLOps \| Python • FastAPI • Docker \| M\.Tech \(IISc Bangalore, ’23\)

## About

AI Engineer \(Team Lead\) with 3 years of experience building production\-grade GenAI and ML systems\. I specialize in designing and deploying LLM\-powered RAG pipelines including hybrid retrieval architectures with vector databases \(Qdrant\) and LLM orchestration that solve real\-world problems in production environments\. At dAIgnostiX, I built an end\-to\-end RAG system that personalizes AI\-generated radiology reports to match individual writing styles, reducing manual editing time by 40%, alongside designing evaluation frameworks to measure model reliability in clinical settings\. Beyond GenAI, I've shipped high\-uptime AI products using FastAPI, Docker, and MongoDB, architected event\-driven systems with real\-time drift detection and feature stores, and applied deep learning to diagnostic imaging \(segmentation, detection\) in healthcare\. I currently lead a team of 4 AI engineers, working hands\-on across model development, system design, and code reviews\. Recently, I built an end\-to\-end real\-time cryptocurrency price prediction system covering feature engineering, drift detection, model registry, and CI/CD, deployed as 9 microservices on a Kafka\-compatible event\-driven architecture\. I'm always interested in connecting with others working on GenAI, applied ML, and production AI systems\.

## Location

Hyderabad

## AI stack

codex

opencode

## Work experience

AI Engineer \(Team Lead\) at dAIgnostiX, Jul 2023 \- Present · 3 yrs 2 mos, Bengaluru, Karnataka, India, • Built an end\-to\-end RAG pipeline personalizing AI\-generated radiology reports to match radiologists’ writing styles, using hybrid retrieval with Qdrant and OpenAI’s models, reducing manual editing time by 40%\. • Designed a reference\-anchored evaluation framework to measure style\-adaptation quality in isolation from radiologists’ independent clinical edits, improving reliability of automated report generation\. • Designed an AI model orchestration service using FastAPI, RabbitMQ, MongoDB for distributed inference across services, bringing multiple AI products to production\. • Led design and deployment of an event\-driven subscription service with flexible plans, expanding monetization by 70%\. • Lead a team of 4 AI engineers, overseeing model development and code reviews\. • Developed and deployed segmentation models for aortic dissection and aneurysm detection, achieving IoU 0\.83 and 0\.92 with 94% sensitivity and 89% specificity, reducing reporting time by nearly 60%\. • Built pneumonia detection and YOLO\-based localization models with mAP 0\.7, 90% sensitivity and 88% specificity, cutting evaluation time by approximately 30%\.

## Education

MTech, Signal Processing, Indian Institute of Science \(IISc\)

BTech, Electrical Engineering, Bhilai Institute of Technology \(BIT\), Durg

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

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