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Narendra Kumar Grandhi

Founding Engineer at Lear Labs | xTataCLiQ (Intern) | Backend, GenAI & Voice Systems | LLMs, RAG, AI Agents

Hyderabad

3+ years of work experience

Lear Labs
Mar 20262 mosPresent

On-site

Working across backend systems, GenAI pipelines, and voice agent infrastructure, contributing to core product and platform development Razorpay payment integration with secure webhook handling to update subscription state and enforce real-time user access control Security enhancements for legal AI systems with access control and compliance safeguards for IDFC Bank Mixpanel analytics and Brevo email automation for user behavior tracking, feature adoption insights, and lifecycle engagement Campus-restricted deployment for a law college using IP allowlisting and email domain validation, with user provisioning and access control Web scraping and vector indexing pipeline to ingest website data into embeddings for LLM-powered voice bot retrieval workflows
Lear Labs
Dec 20254 mosMar 2026

Bengaluru

Backend development and API workflows for core product features Initial implementations across AI systems and platform modules
Lear Labs
Aug 20254 mosNov 2025

Bengaluru

AI-driven features for student learning platforms, improving discovery and personalization AI agents with conversation summarization for context-aware user interactions Course search system using Gemini and Pinecone for accurate and fast retrieval Backend features with MongoDB and PostHog analytics for usage tracking and insights
Tata CLiQ Fashion
Mar 20254 mosJun 2025

Bengaluru

Contributed to TARA, a GenAI-powered conversational shopping assistant, using FAISS vector search and dynamic filters for natural product discovery. Developed a GenAI FAQ agent using the Gemini API, generating SEO-optimized FAQs from product metadata and serving them at scale on PDPs. Improved catalog reliability by resolving 404 PDP issues, fixing metadata mismatches between ElasticSearch (PLP) and SAP Hybris (PDP). Implemented a hash-set-based de-duplication algorithm to remove duplicate product listings, improving search and recommendation quality. Enhanced PDP experience by building a “Similar Products” feature using Spring Boot, extending existing recommendation logic.
Chegg India
Sep 20222 yrs 3 mosNov 2024

India

NIT Warangal Artificial Intelligence
Jul 20242 mosAug 2024

Warangal, Telangana, India

Engineered AI/ML models to detect and predict tomato plant diseases from image data, achieving 95% accuracy. Reduced diagnosis time by 40% through optimized data preprocessing and model tuning.

Narendra’s AI Stack

gemini
gemini
langchain
langchain
langgraph
langgraph
openai
openai

Education

Amrita Vishwa Vidyapeetham

Bachelor of Technology - BTech, CSE

Amrita Vishwa Vidyapeetham

20214 yrs2025

Narayana Junior College - India

20192 yrs2021

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Headline

Founding Engineer at Lear Labs | xTataCLiQ (Intern) | Backend, GenAI & Voice Systems | LLMs, RAG, AI Agents

About

Software Engineer with experience building backend systems and applied Generative AI solutions used in production. I’ve worked at Lear Labs and Tata CLiQ, contributing to AI-driven legal automation, GenAI assistants, document processing pipelines, AI agents, and scalable backend APIs. I also have a research background from NIT Warangal and am a co-author of a Scopus-indexed publication on Explainable AI. Skilled in Java, Python, FastAPI, Spring Boot, SQL, REST APIs, and applied GenAI workflows including RAG pipelines and agent-based systems. I enjoy working at the intersection of backend engineering and AI, building reliable, scalable, user-focused systems. Currently open to Software Engineer, Generative AI roles. Happy to connect and discuss opportunities.

Location

Hyderabad

AI stack

gemini

langchain

langgraph

openai

Work experience

Founding Engineer at Lear Labs, Mar 2026 - Present · 2 mos, On-site, Working across backend systems, GenAI pipelines, and voice agent infrastructure, contributing to core product and platform development Razorpay payment integration with secure webhook handling to update subscription state and enforce real-time user access control Security enhancements for legal AI systems with access control and compliance safeguards for IDFC Bank Mixpanel analytics and Brevo email automation for user behavior tracking, feature adoption insights, and lifecycle engagement Campus-restricted deployment for a law college using IP allowlisting and email domain validation, with user provisioning and access control Web scraping and vector indexing pipeline to ingest website data into embeddings for LLM-powered voice bot retrieval workflows

Software Engineer at Lear Labs, Dec 2025 - Mar 2026 · 4 mos, Bengaluru, Backend development and API workflows for core product features Initial implementations across AI systems and platform modules

Software Engineer at Lear Labs, Aug 2025 - Nov 2025 · 4 mos, Bengaluru, AI-driven features for student learning platforms, improving discovery and personalization AI agents with conversation summarization for context-aware user interactions Course search system using Gemini and Pinecone for accurate and fast retrieval Backend features with MongoDB and PostHog analytics for usage tracking and insights

Technology Intern at Tata CLiQ Fashion, Mar 2025 - Jun 2025 · 4 mos, Bengaluru, Contributed to TARA, a GenAI-powered conversational shopping assistant, using FAISS vector search and dynamic filters for natural product discovery. Developed a GenAI FAQ agent using the Gemini API, generating SEO-optimized FAQs from product metadata and serving them at scale on PDPs. Improved catalog reliability by resolving 404 PDP issues, fixing metadata mismatches between ElasticSearch (PLP) and SAP Hybris (PDP). Implemented a hash-set-based de-duplication algorithm to remove duplicate product listings, improving search and recommendation quality. Enhanced PDP experience by building a “Similar Products” feature using Spring Boot, extending existing recommendation logic.

Lead Tutor at Chegg India, Sep 2022 - Nov 2024 · 2 yrs 3 mos, India

Research Intern at NIT Warangal Artificial Intelligence, Jul 2024 - Aug 2024 · 2 mos, Warangal, Telangana, India, Engineered AI/ML models to detect and predict tomato plant diseases from image data, achieving 95% accuracy. Reduced diagnosis time by 40% through optimized data preprocessing and model tuning.

Education

Bachelor of Technology - BTech, CSE, Amrita Vishwa Vidyapeetham

Narayana Junior College - India

Narendra Kumar Grandhi - Founding Engineer in Hyderabad | Tal