Product Analyst at Microsoft optimizing AI search telemetry and Copilot prompt intelligence for Bing Sports. Creator of SeedhaStock (Deployed on Azure: Multi-Agent OSINT Trading Detective) and Founder of SpaceTalk (Rust SaaS).
Multi-Agent OSINT Trading Detective & Forensic Audio Engine for NSE/BSE & US Equities.
Multi-tenant contact center intelligence SaaS in Rust/Axum + React.
Kumbh Mela 2027: AI-powered missing persons registry with offline PWA & PA broadcasts.
Autonomous AI Trading & OSINT Detective Platform with Forensic Audio Deception Detection, Multi-Agent FinBERT NLP, and NSE/BSE/US Universal Resolution.
Engineered and deployed an end-to-end multi-agent trading intelligence suite on Azure. SeedhaStock ingests real-time financial market data, parses executive digital footprints, executes vector backtests, and conducts forensic earnings call deception checks for global and Indian stocks.
Acoustic & vocal stress analysis on quarterly earnings calls to detect executive evasion and deception signals.
Fuzzy alias resolution: maps typos, company names ("Tata Motors", "Google"), and suffixes (.NS, .BO) to canonical symbols.
Footprint tracker for executive travel, hiring velocity, SEC EDGAR filings, and grounded rumor corroboration scores.
Vectorized momentum replay computing Sharpe ratios, maximum drawdowns, win-rates, and multi-factor risk vetoes.
I am a Product Analyst at Microsoft with a background spanning product analytics, artificial intelligence system design, and full-stack software development. In my role at Microsoft, I work across search technology and Copilot infrastructure to enhance the Bing Sports user experience—evaluating result accuracy, optimizing complex queries, and collaborating cross-functionally with PMs, Data Engineers, and AI/ML scientists.
As a builder and founder, I launched SpaceTalk, an enterprise conversation intelligence platform architected in Rust, Axum, PostgreSQL, and React. I also engineered SeedhaStock, deployed yesterday on Azure with Cosmos DB and multi-agent FinBERT, and AutoApply Pro, a Chrome extension helping job seekers automate applications.
My foundation is anchored by an Integrated Master of Computer Applications (IMCA) from L.J. Institute and an Advanced Certificate in Cyber Security from IIIT Bangalore.
Bing Sports relevance, query intent mapping, and KQL telemetry analysis.
Multi-tenant AI SaaS (SpaceTalk), memory vaults (MemBridge), and Azure models.
High-concurrency backends (Rust/Axum, Node.js) and modern React/TypeScript UIs.
Key roles across Big Tech, B2B SaaS startup leadership, advertising analytics, and full-stack software development.
Working across search technology and Copilot infrastructure to enhance the Bing Sports user experience. Analyzing search queries, evaluating result accuracy across diverse query patterns, and ensuring that sports-related prompts surface precise, real-time insights.
Founded and engineered SpaceTalk, a multi-tenant B2B SaaS conversation intelligence platform for contact centers that automates speech-to-text, call summarization, and agent QA scoring.
Managed digital ad spend optimization, conversion analytics, and interactive BI reporting for global brand catalogs.
Real applications, AI memory vaults, SaaS platforms, and automation engines.
Multi-agent OSINT trading intelligence system deployed on Azure. Features earnings call acoustic deception checks, universal ticker resolution, and automated vectorized backtesting.
Multi-tenant contact-center AI platform providing real-time speech-to-text, call summarization, automated agent QA scoring, and customizable compliance tracking.
Full-stack job application suite featuring a Chrome extension for one-click form filling, AI-powered custom cover letter generation, and JD resume analyzer.
Universal AI Memory Platform allowing users to carry conversation context, behavioral traits, and preferences across ChatGPT, Claude, and Gemini seamlessly.
Claude-powered unified registry auto-matching missing and found persons across tents at massive pilgrim gatherings. Works phoneless for elderly pilgrims via loudspeaker PA and SMS.
Automated data mining pipeline that extracts, verifies, and scores high-intent B2B prospect data across enterprise directories with proxy rotation and anti-bot handling.
Full-stack application that enables Shopify merchants to automate the extraction and sync of product listings, pricing, and variants from IndiaMART directly into their store catalog.
Core technologies, Big Tech analytics tools, cloud platforms, and engineering languages.
International Institute of Information Technology Bangalore (IIITB)
L.J. Institute of Engineering & Technology (LJIET)
Predictive customer churn modeling with 85% accuracy using Random Forest.
Identity & Access Management (IAM) framework design & risk assessments.
Interested in discussing Product Analytics, AI Agent architectures, conversation intelligence, or technical collaborations? Feel free to reach out directly.
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