Jun 2025 – Present · 11 mos

• Promoted for "consistent demonstration of technical leadership, cross-functional influence, and delivery at scale." Lead 10+ engineers across 2 pods as the primary India delivery leader for Talent Scout — Indeed's AI-powered employer agent platform. Own full product engineering lifecycle across AI-driven recruiter recommendations, outreach automation, AI-powered customer support agent, and advanced sourcing — spanning 16 production services. Influence extends to 30+ engineer calibration org and site-wide interviewer programs. Manager effectiveness score: 100/100 (bi-annual direct report survey).
• Conceived and solo-built the original Talent Scout prototype in 4 weeks — a working LLM-powered agent with real employer data integration that leadership greenlit for full investment; now Indeed's flagship AI recruiter product
• Evaluated agent orchestration approaches and selected LangGraph for its interrupt-based HITL patterns; architected 6-agent system with GraphQL federation, enabling independent agent deployment across US and India teams
• Grew AI recommendation relevance from 54% to 77%+ (human-evaluated across 2,000+ recruiter-candidate pairs); achieved 30% sustained recruiter engagement rate — directly driving employer activation on Indeed's premium AI product
• Delivered Invite-to-Apply, Bulk Outreach, Interview Scheduling, and ATS-integrated outreach — +4 percentage-point apply rate uplift vs. baseline Indeed
• Led AI-powered CS agent from POC to phased production ramp with LLM-as-Judge evaluation gates and kill-switch infrastructure; secured VP and SVP sponsorship by presenting data-backed business case
• Built team from scratch to 2 pods (10+ engineers); stabilized teams during org restructuring with zero attrition; championed 3 engineer promotions
• Designed Technical Phone Screen interviewer training for entire Hyderabad site — doubled the active interviewer pool, replacing outsourced vendor; conducted 171 interviews personally

Jun 2022 – Jun 2025 · 3 yrs

• Patent Innovation: QR Code Calling Experience
• Co-invented a privacy-preserving QR code temporary phone calling system enabling employers to call candidates without disclosing phone numbers (Invention Disclosure PATENT-56)
• Improved call placement rate from 5.34% to 18.01% (+237%), call pickup rate from 3.85% to 13.42% (+248%), and interview rate by +4 percentage points
• Deployed across 4+ employer surfaces (EIX, Candidates Page, Phone Calls Tab, desktop)
• Patent review recognized as "exactly the type of highly visible, clever innovation we want to consider"
• Cost Optimization & Engineering Excellence
• Reduced database costs by 40% ($405/month savings) and storage by 64.3% (35GB to 12.5GB) through schema optimization
• Increased automation test coverage from 39% to 80%
• Upgraded all services to Indeed-compliant Java, Node, and MongoDB versions
• Built comprehensive Datadog dashboards for real-time operational visibility
• Measurable Business Impact
• Drove +47% increase in engaged employers and +26% increase in candidate card views
• Built appeal rejection workflow service using Spring Boot, GraphQL, Kafka, and MongoDB with Zendesk CS integration

Apr 2021 – Jun 2022 · 1 yr 2 mos

• building the high scale products from scratch for helping people get jobs in India.
• This includes enabling whatsapp integration for notification, phone interviews using exotel. Managing cross DC requests. Builinding services handling more than 1000qps.
• Phone Interview Platform — 10M+ Interviews at Scale
• Built and scaled phone interview platform handling 1M+ requests/day with 99.99% availability, enabling 10M+ employer-candidate interviews and 118K engaged job seekers with positive connections
• Designed event-driven architecture using Kafka, MongoDB, and Exotel telephony integration across Indeed mobile, desktop, WhatsApp, SERP, and resume pages
• Led inference of phone call outcomes using LLM pipeline (recording to transcription to translation to intent analysis), achieving 7x improvement in positive connection rate (1.5% to 11%)
• WhatsApp Employer Journey
• Launched WhatsApp-based employer notifications and disposition capture, achieving 4% employer visit rate vs. 0.2% for email (20x improvement)
• Integrated RabbitMQ messaging pipeline with WhatsApp Business API for real-time employer engagement
• Two-Way Calling Experience
• Evolved QR code calling into full two-way desktop calling via Exotel Click-to-Call API
• Achieved 38% QR code click-to-call conversion rate; +7.6% call connection rate improvement

Jun 2018 – Sep 2020 · 2 yrs 3 mos

• Built different solutions for the Indian market by integrating with external parties such as Whatsapp, Exotel to enable seamless notification between the parties.
• Contributed extensively to external codebases by designing and collaborating across timezones.
• Was part of core hiring process and took more that 200+ interviews involving whiteboard, code review, Resume deep dive and Architecture rounds.

Apr 2018 – Jul 2018 · 3 mos

• Worked in Data Scientist role to build Models on Job Descriptions.
• Worked on two problem statements.
• 1. Model to detect if a job description has a license requirements such as nursing, drivers jobs where this model identifies and which will be used to promote the candidates who satisfy this need.
• 2. Model to detect if the job description has skill requirements. This is used for jobs which has some skill as a required field such as latin language skill
• Built the model from data collection phase, data cleaning, feature extraction, model building by experimenting with various models from logistic regression, SVM, tree based models such as XGBoost. Also evaluating metrics and deploying to production.
• Built script which automates the data extraction from the labelled data and converts into feature tabular fashion.

Jun 2016 – Apr 2018 · 1 yr 10 mos

• Built the Interview management tool from scratch to the team of 10 members. This tool is used to collect the data on the interviews taken by interviewer and help in deciding the hire decision based on unbiased data-driven fashion by various features like voting.
• Proposed and worked on new product called "Indeed people" as Product manager, backend engineer.
• This product is to connect people based on resume match