---
title: "Purushotham Rao Eravalli - Scientist in Hyderabad | Tal"
description: "Meet Purushotham Rao Eravalli, AI/ML Research Scientist based in Hyderabad. AI stack includes claude, hugging face, and langchain."
image: "https://tal.club/meet/purushotham-rao-eravalli/share-image"
---

# Purushotham Rao Eravalli on Tal

## Headline

AI/ML Research Scientist

## About

A problem solver & creative thinker of exciting technology problems, I , with my hard work & dedication have very shortly pulled myself from "Zero to One" to a Full Stack & ML engineer to deliver entire bandwidth of technology need\. Architecting and administering the model training & performance analysis, I focus on my own "inner learning" too & love nature\.

## Location

Hyderabad

## AI stack

claude

hugging face

langchain

langgraph

langsmith

Qwen

## Work experience

Scientist at Jukshio, Jun 2020 \- Present · 6 yrs 4 mos, Hyderabad, Telangana, India, • Built production RAG pipelines with hybrid dense\-sparse retrieval and LLM grounding for insurance document Q&A, clause extraction, and risk summarisation • Architected multi\-agent retail operations platform using CrewAI, LangGraph, and AutoGen — For daily customer interactions, autonomous query resolution, inventory management, and escalation routing\. • Fine\-tuned LLMs \(LLaMA, Qwen, DeepSeek, Mistral\) from scratch and with LoRA/QLoRA/PEFT/DeepSpeed for domain\-specific financial and insurance use cases\. • Built LLM\-powered underwriting automation platform — synthetic document generation \(bank statements, payslips, credit reports\) streamlining financial enterprise assessment workflows\. • Collaborated with medical professionals on transformer\-based gene\-specific medicine discovery\. • Led AI development of camera\-based automated billing smart cart — real\-time object detection eliminating conventional checkout across multiple retail deployments\. • Designed CNN\-based MobileNet \+ NIMA facial liveness and recognition system on Kubernetes — 1M\+ verifications/month for Jio's enterprise KYC pipeline, 20% accuracy improvement\. • Built end\-to\-end OCR and intelligent document parsing pipeline for ID proof verification, reducing manual review by 60%\. • Established MLOps infrastructure with Kubeflow Pipelines and Kubernetes — automated retraining, versioning, CI/CD, zero\-downtime deployments for Jio and enterprise clients\. • Led 400\-person data curation team; built preprocessing and augmentation pipelines accelerating training cycles by 30%\.

Research And Development Engineer at Sukshi, Apr 2017 \- May 2020 · 3 yrs 2 mos, Hyderabad, Telangana, India, • Retrained and optimised face recognition models for enterprise attendance system — 20% accuracy improvement across diverse demographic datasets\. • Built Python/Django \+ React monitoring platform for real\-time model performance benchmarking\. • Developed full\-featured real\-time chat application for e\-commerce platform — buyer\-seller communication, order tracking, and support workflows\.

Field Engineer at TRUPIK VIRTUALIZATION PRIVATE LIMITED, May 2016 \- Mar 2017 · 11 mos, Hyderabad, India, • Engineered 3D face reconstruction pipeline using depth camera data for virtual clothing try\-on product — bridging hardware sensors, point\-cloud processing, and AI productisation\. • Installed and supported AI imaging hardware and software systems across multiple retail locations\.

## Education

Bachelor of Engineering \- BE, Electrical, Electronics and Communications Engineering, Jawaharlal Nehru Technological University

Secondary school, Good Morning Grammar High School

[View the original profile](https://tal.club/meet/purushotham-rao-eravalli)

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