Headline

IIT Delhi || AI/ML Engineer || 7+years experience || OYO || Airtel

About

7+ years building ML and GenAI solutions across Travel, Aviation, Telecom, Fintech and Healthcare. Hands-on across RAG, LLM applications, classical ML and constrained optimization, with experience taking solutions from problem definition and POCs through APIs, cloud deployment and production optimization. Recent work includes client-facing AI systems on Azure, including a solution supporting 1500+ RPM with 80% lower latency. I hold a dual degree in Mathematics and Computer Science from the Indian Institute of Technology Delhi, which shaped my analytical approach to solving complex real-world problems. My research interests lie at the intersection of AI, scientific discovery, and computational systems, driven by a belief that AI will accelerate breakthroughs across critical industries. My goal is to contribute as a builder in frontier industries, where intelligent systems can accelerate scientific progress and global-scale innovation to solve world problems and use human consciousness for creative pur

Location

Bengaluru

AI stack

claude code

claude

codex

cursor

deepseek

geminicli

Work experience

Senior AI Engineer at AIonOS, Jun 2024 - Present · 2 yrs 3 mos, Gurugram, Haryana, India, Fare Rule Analyzer: Designed and deployed an LLM-powered system to simplify fare-rule penalties across multiple airlines. Owned problem definition, solution design, FastAPI implementation, Azure deployment and CI/CD; led a team of 6. Production architecture supports 1500+ RPM with 80% lower latency. • GenAI delivery: Led 5+ GenAI solutions across Travel, Healthcare and Aviation using RAG, Agentic AI and model adaptation,delivering USD 500K+ business impact. • Credit risk: Built an XGBoost-based scorecard for New-to-Credit consumers using telecom signals including location, call/SMS headers and app data; achieved GINI 0.7. • Airline optimization: Built OR-Tools POCs for tail assignment and route allocation across 100+ flights and 20+ routes under operational constraints.

Product Data Scientist (Growth Product Manager) at Airtel Digital, Apr 2022 - Mar 2023 · 1 yr, Gurugram, Haryana, India, Unlocked the 0 to 1 growth journey for digital lending business for Airtel , creating business of 70 Cr/monthly within span of 1 year. 1.Utilizing ML algorithms identified cohorts for potential quality leads based on User demographics, Pin code,Credit Score to target via different marketing channels improving the CTR's by 10% and funnel conversion by 20%. 2. Creating revenue goals MOM basis , and strategic timeline based planning to be done by Product , Data Science & Tech teams to achieve the targets and highlight to senior leadership in advance regarding potential threats & mitigation plan. 2.Creating communication strategies for different marketing channels like Push , WhatsApp, SMS based on user analytics and conducting A/B experiments regularly for user acquisition and retention.

Product Data Scientist(Revenue Manager) at OYO, Jun 2019 - Apr 2022 · 2 yrs 11 mos, Gurugram, Haryana, India, ◦ Implemented Conversion X Realization framework basis Customer segmentation x Booking Trend x Asset which led to CM impact of USD 200K/month by implementing channel level actions across App and OTA platforms. ◦ Improved Payment Success Rates by 8%in Indonesia and10% in Malaysia via launching Wallets &BNPL, improving product flows , aggressive marketing campaigns , robust error tracking mechanism , external partnerships. ◦ Implemented the Recovery framework from scratch resulting in healthy cash flows by ensuring 95%+ same month recovery and collection of bad debt of around USD 300 k across 9 months. ◦ Spearheaded the Global New Live Segment increasing the monthly revenue by 30% via Network Planning and funnel based execution creating CM Impact of USD 50k. ◦ Awarded with Champions Club Award for Q3’21 and COO Recognition Award - Feb’20. Fast Track Promotion from Senior BA to Revenue Manager.

Quant Analyst (Front Office Trading Risk) at NatWest Markets, Jun 2018 - May 2019 · 1 yr, Gurgaon, Haryana, India, 1.Getting exposure to various market derivatives(FX, FI) and understanding the concerned models. 2. Automating and optimizing existing models like Stress Test, Intraday Risk, FX Risk(P&L) and portfolio optimizer(VAR model) in Excel. 3. Runner-up at ML-based Hackathon organized by NWM across 40+ teams all across India.

Co-Founder at Flickle.in, Dec 2016 - Sep 2017 · 10 mos, New Delhi Area, India, Flickle ( Zomato for Foodcourts) - Created a successful product with great user reviews & ratings , included essential features like Wait time, great design & Tech and 5/5 rating from consumers. - Won the award for Top 5 Startups from IITD , pitched across multiple startup events , angel investors , VC's ( Sequoia & Matrix). - Unable to find a business model which works for all stakeholders ( customers, investors, sellers , us) .

Education

Master of Technology, Mathematics and Computer Science, Indian Institute of Technology, Delhi

Bachelor of Technology, Mathematics and Computer Science, Indian Institute of Technology, Delhi