---
title: "Manohar Hari - Senior Machine Learning Engineer 2 in Hyderabad | Tal"
description: "Meet Manohar Hari, AI Architect for Recruitment & HR Tech | Multi-Agent Systems | Candidate Engagement Automation | ATS Intelligence based in Hyderabad. AI stack includes claude code, claude, and gemini."
image: "https://tal.club/meet/manohar-hari/share-image"
---

# Manohar Hari on Tal

## Headline

AI Architect for Recruitment & HR Tech \| Multi\-Agent Systems \| Candidate Engagement Automation \| ATS Intelligence

## About

I specialize in designing AI systems for recruitment and HR\-tech platforms\. My focus is on building scalable workflow\-driven systems that improve recruiter productivity, candidate engagement, and recruitment operations using AI\. Areas I work on include: • Candidate engagement automation • Recruiter copilots • ATS workflow intelligence • Multi\-agent recruitment systems • Follow\-up orchestration systems • AI\-assisted sourcing and screening • High\-volume communication workflows • Recruitment operations architecture I’m particularly interested in architecting systems where AI is integrated deeply into recruiter workflows instead of being isolated as standalone features\.

## Location

Hyderabad

## AI stack

claude code

claude

gemini

hugging face

ChatGPT

## Work experience

Senior Machine Learning Engineer 2 at ModMed, Apr 2026 \- Present · 7 mos, Hyderabad

GenAI Architect at Leoforce, Mar 2024 \- Apr 2026 · 2 yrs 2 mos, Hyderabad, Telangana, India, \- Developed a custom agent orchestration SDK from scratch to enable advanced context engineering and flexible LLM message processing\. Implemented multi\-provider support across Groq, Ollama, OpenAI, and Anthropic with intelligent fallback and retry mechanisms, ensuring high availability and seamless provider switching for production workloads\. \- Fine\-tuned embedding models and LLMs to optimize agent performance where necessary, and implemented the Memento paper's memory architecture to enable persistent context retention without fine\-tuning, significantly improving multi\-turn task performance and contextual understanding\.

Lead Machine Learning Engineer at Leoforce, Mar 2021 \- Feb 2024 · 3 yrs, Hyderabad, Telangana, India, \- Interview Bot: Developed a chatbot that uses Generative AI \(GenAI\) to generate human\-like interview questions, and combines this with NLP and NLU to filter candidates based on their responses o Reduced recruiter's time spent on engagement through automation o Integrated multiple AI technologies to create a seamless candidate experience ● Onboarding Bot: Streamlined HR Operations by developing an AI\-powered chatbot to provide employees with instant answers to their employment\-related queries o Leveraged LLMs and RAG on candidate documents to automate and optimize the onboarding process o Achieved significant reduction in average HR team size from 7 to 3 members DB Report Agent: Built a cross\-database agent that translates natural language into optimized SQL queries across multiple database systems\. The agent automatically generates comprehensive reports and eliminates manual query writing, enabling non\-technical users to perform complex data analysis while maintaining query efficiency and performance\.

Machine Learning Engineer at Leoforce, Jun 2017 \- Feb 2021 · 3 yrs 9 mos, Hyderabad Area, India, \- Developed a job board platform that connects job seekers with employers, providing a seamless job search and application experience\. \- Created a conversational bot that can be integrated with any career portal, assisting candidates in their job search and application process, and enhancing their overall user experience\.

Intern at IIIT Hyderabad, Nov 2015 \- Aug 2016 · 10 mos, Hyderabad, Telangana, India, Design and develop address recognition system for Amazon\.

## Education

Master of Technology \(MTech\), Computer Science, International Institute of Information Technology Hyderabad \(IIITH\)

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

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