Hitesh Nankani profile photo 1 on Tal

Hitesh Nankani

Senior Software Engineer (AI & Engineering) @Mindtickle | Built 40+ production AI features + a product line at ~24% of ARR | LLMOps · RAG · Agentic AI · Microservices at 200x scale | Forward-Deployed AI | Ex-Myntra

Greater Bengaluru Area

8+ years of work experience

Mindtickle
Jan 20267 mosPresent

Bangalore Urban · Hybrid

LLMOps & AI Infrastructure -> Sole Owner, Org-wide - Architected the end-to-end LLM-Ops platform: model deployment pipelines, evaluation frameworks (automated quality scoring, regression detection), prompt versioning, cost/latency monitoring, and data processing workflows - delivered in 2 weeks after inheriting a stalled 8-month effort. AI Adoption Across Products - Identified AI opportunities across multiple products and drove integration end-to-end — increasing adoption by up to 8000% in key offerings; led company-wide AI Knowledge Sharing sessions. - Driving requirements gathering, vendor evaluation, POCs, and production integration for all AI features company-wide — standardised model selection criteria, evaluation benchmarks, and rollout procedures.
Mindtickle
Jul 20223 yrs 6 mosDec 2025

Bangalore Urban · Hybrid

- Missions Platform — Lead Engineer | 10+ Microservices, 30+ Features, 3→30 Team Growth - Built a hackathon prototype (Voice AI Assistant) that became a primary product generating $12M+ ARR - architected the GenAI pipeline (prompt chains, context management, response evaluation). - Shipped an AI chat system for Voice Agent creation (20+ prompt configurations) in 1 month. - Introduced AI Reviews (AI as a platform reviewer) - increased product usage by 2100%, 15x revenue growth, 21x usage growth. - Led engineering across 10+ microservices; reduced API latency by 10-40x; grew team from 3 to 30 engineers.
Myntra
Feb 20225 mosJun 2022

Bengaluru

Scaled the crawling platform from 100K to 20M+ pages/day (200x) — distributed microservices architecture (Java, ElasticSearch, Azure, NoSQL) providing competitive pricing insights impacting $600M+ in annual revenue. Reduced on-call monitoring time by 85% by implementing a real-time alert system.
Myntra
Jul 20192 yrs 8 mosFeb 2022

Greater Bengaluru Area

Built the Trends service end-to-end — an NLP-powered system predicting future clothing trends, used by merchandising teams for buying decisions. Contributed to scaling the crawling platform (see Senior Software Engineer role below for full scope) — distributed microservices architecture on Java, ElasticSearch, Azure, NoSQL.
MIDAS: Multimodal Digital Media Analysis Lab
Jan 20182 yrs 2 mosFeb 2020

New Delhi

Research Intern, MIDAS Lab, IIIT-Delhi — worked on multilingual NLP and discourse analysis under Dr. Rajiv Ratn Shah. First-authored a book chapter on multilingual sentiment analysis (Springer, 2020) and co-authored a paper on Hindi discourse annotation (LREC 2020). 130+ citations to date.

Education

Netaji Subhas Institute of Technology

Bachelor of Engineering - BE, Computer Engineering

Netaji Subhas Institute of Technology

20154 yrs2019

Join Hitesh and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Hitesh Nankani on Tal

Headline

Senior Software Engineer (AI & Engineering) @Mindtickle | Built 40+ production AI features + a product line at ~24% of ARR | LLMOps · RAG · Agentic AI · Microservices at 200x scale | Forward-Deployed AI | Ex-Myntra

About

AI & Engineering Expert | Problem Solver | Building Scalable Solutions with AI Agents, RAG, Microservices, & Serverless Architectures. Proven track record in developing innovative AI role-plays at Mindtickle. Passionate about leveraging AI & robust engineering across all product domains. Balanced by dedication to volunteer initiatives supporting mental health and peaceful living.

Location

Greater Bengaluru Area

Work experience

SDE-III (AI & Engineering) at Mindtickle, Jan 2026 - Present · 7 mos, Bangalore Urban · Hybrid, LLMOps & AI Infrastructure -> Sole Owner, Org-wide - Architected the end-to-end LLM-Ops platform: model deployment pipelines, evaluation frameworks (automated quality scoring, regression detection), prompt versioning, cost/latency monitoring, and data processing workflows - delivered in 2 weeks after inheriting a stalled 8-month effort. AI Adoption Across Products - Identified AI opportunities across multiple products and drove integration end-to-end — increasing adoption by up to 8000% in key offerings; led company-wide AI Knowledge Sharing sessions. - Driving requirements gathering, vendor evaluation, POCs, and production integration for all AI features company-wide — standardised model selection criteria, evaluation benchmarks, and rollout procedures.

Senior Developer (AI & Engineering) at Mindtickle, Jul 2022 - Dec 2025 · 3 yrs 6 mos, Bangalore Urban · Hybrid, - Missions Platform — Lead Engineer | 10+ Microservices, 30+ Features, 3→30 Team Growth - Built a hackathon prototype (Voice AI Assistant) that became a primary product generating $12M+ ARR - architected the GenAI pipeline (prompt chains, context management, response evaluation). - Shipped an AI chat system for Voice Agent creation (20+ prompt configurations) in 1 month. - Introduced AI Reviews (AI as a platform reviewer) - increased product usage by 2100%, 15x revenue growth, 21x usage growth. - Led engineering across 10+ microservices; reduced API latency by 10-40x; grew team from 3 to 30 engineers.

Senior Software Engineer at Myntra, Feb 2022 - Jun 2022 · 5 mos, Bengaluru, Scaled the crawling platform from 100K to 20M+ pages/day (200x) — distributed microservices architecture (Java, ElasticSearch, Azure, NoSQL) providing competitive pricing insights impacting $600M+ in annual revenue. Reduced on-call monitoring time by 85% by implementing a real-time alert system.

Software Engineer at Myntra, Jul 2019 - Feb 2022 · 2 yrs 8 mos, Greater Bengaluru Area, Built the Trends service end-to-end — an NLP-powered system predicting future clothing trends, used by merchandising teams for buying decisions. Contributed to scaling the crawling platform (see Senior Software Engineer role below for full scope) — distributed microservices architecture on Java, ElasticSearch, Azure, NoSQL.

Research Intern at MIDAS: Multimodal Digital Media Analysis Lab, Jan 2018 - Feb 2020 · 2 yrs 2 mos, New Delhi, Research Intern, MIDAS Lab, IIIT-Delhi — worked on multilingual NLP and discourse analysis under Dr. Rajiv Ratn Shah. First-authored a book chapter on multilingual sentiment analysis (Springer, 2020) and co-authored a paper on Hindi discourse annotation (LREC 2020). 130+ citations to date.

Education

Bachelor of Engineering - BE, Computer Engineering, Netaji Subhas Institute of Technology

Hitesh Nankani - SDE-III (AI & Engineering) in Greater Bengaluru Area | Tal