BRIDGING
STRATEGY &
REALITY
Product Manager Who Ships Production Systems.
Core Expertise
Product Management + Engineering Execution + Operational Excellence.
Product Strategy & Execution
Led 6+ zero-to-one product launches across enterprise and FinTech. Specialize in turning ambiguous requirements into shipped products with measurable business impact.
AI & Systems Architecture
Built production AI systems that passed InfoSec review. Delivered 80% reduction in manual review time using PII-safe AI middleware. Real systems, not demos.
Technical Execution & Prototyping
Full-stack builder who prototypes to validate concepts. Scaled trading platforms from 2 to 12 concurrent strategies. <50ms latency, institutional-grade reliability.
Operational Excellence & Risk
Designed automated risk gates that prevented ₹50K+ in trading losses. Improved compliance by 40%. Built systems that survive real-world chaos.
STRATUM
ALPHA
Institutional-grade quantitative validation engine.
My Role: Product Lead & Technical Architect
Python • NumPy • Joblib • Plotly
Trading strategies break.
Most fail before they start.
⚠️ Overfitting is the Enemy
Most traders find a strategy that worked last week and bet money on it. This is "Curve Fitting"—mistaking luck for skill. Business Risk: Strategies that fail in live markets destroy capital and credibility. I needed a system that could rigorously stress-test strategies across 5 years of market data.
Standard Tools Fail
TradingView & Excel cannot handle
10,000+ iteration loops.
Brute-Force
Engineering.
We don't guess parameters. We scan the entire mathematical universe of possibilities to find stable regions of profitability.
Vectorization Engine
Replaced slow Python loops with NumPy vector operations. Utilized CPU SIMD instructions to process entire market datasets in single clock cycles.
Parallel Core Forking
Optimization is an "Embarrassingly Parallel" problem. I used Joblib to fork the validation process across all 16 CPU threads, saturating hardware limits.
3D Robustness Mapping
Instead of a single "best number", we generate 3D heatmaps to find "Plateaus of Stability"—regions where profits survive even if market conditions drift.
OPTIMIZATION_ENGINE.PY
OPTIMAL CONFIG
REFLECTION
"This validation engine prevented deployment of 3 strategies that 'looked profitable' but failed rigorous stress-testing. Saved potential losses while proving that Validation > Optimization.
Business Impact: Enabled institutional-grade confidence in strategy deployment—critical when real capital is at stake."
AI STRATEGY
COPILOT
Zero-to-One FinTech UX for Options Execution.
My Role: Product Lead, Full-Stack Builder & AI Integration
Google Gemini • FastAPI • Zerodha API • Risk Engine
Finance isn't creative writing.
Ambiguity is expensive.
⚡ The Intent-Execution Gap
Junior traders often know what they want ("I'm bullish, but keep it safe") but fail at the how. Constructing a multi-leg options strategy requires finding 4 specific strike prices, calculating Deltas, and placing 4 separate orders in seconds. Manual execution is slow and prone to "fat finger" errors.
LLMs Can't Do Math
Use ChatGPT for English.
Use Python for Math.
Never mix them.
Hybrid
Reasoning Engine.
We built a split-brain architecture. Google Gemini handles the vague human language, while a deterministic Python engine handles the precise financial mathematics.
Intent Recognition
Google Gemini acts as the translator. It takes vague commands like "Safe bullish bet" and extracts structured JSON tags: {"view": "BULLISH", "risk": "LOW"}.
Risk-Adjusted Engine
The Python engine doesn't just execute; it profiles. It filters 50+ possible strategies against the user's risk tier (Low/Mid/High).
Simulates max-loss scenarios to ensure the strategy matches the 1:3 Risk/Reward requirement.
Unified Execution
Once the optimal strategy is found, the engine fires API calls to Zerodha Kite Connect. It executes complex multi-leg orders across 10+ connected accounts simultaneously.
What I've Built
34 production-ready systems across Trading, AI, and Enterprise domains.
Enterprise Algo Execution Platform
Enterprise Algo Execution Platform
Production-grade trading platform with Next.js dashboard, multi-broker orchestration, and <50ms tick-to-trade latency. Real-time signal generation across 12 live strategies — the architecture that runs real capital every day.
Ethereal Website Audit Engine
Ethereal Website Audit Engine
Three parallel AI agents audit any website in 5 minutes — UX, marketing, and business simultaneously. Compressed snapshot architecture cuts token cost 90%. $45K revenue in 6 months, NPS 58, $2 per audit vs. $2,000 consultant.
AI Options Strategy Copilot
AI Options Strategy Copilot
Type "I'm bullish but want safety" and get a precision Iron Condor executed across 10 accounts in 10 seconds. Hybrid NLP intent-classification + deterministic Python math — zero hallucinations, 100% strike accuracy.
RSI Scalping React Platform
RSI Scalping React Platform
Full-stack scalping system with real-time Next.js dashboard. Detects RSI 2-Candle reversals in 120ms, manages three profit targets autonomously. 62% live win rate, ₹47K net profit in 60 days of live trading.
GSheets Supertrend Signal Bot
GSheets Supertrend Signal Bot
Fully automated Supertrend options bot with state machine precision and Google Sheets audit trail. Live trading results: 63% win rate, ₹1.42L profit in 90 days, 92% signal capture vs. 65% manual.
ServiceNow Change Validator
ServiceNow Change Validator
AI-powered Change Request review middleware with PII-safe Gemini integration. Reviews compliance, risk level, and completeness automatically. 80% review time reduction — from 30-minute manual to 6-minute automated.
The Archive
Enterprise PlanGuard
PII-sanitized AI middleware that coaches engineers on Change Requests, reducing manual review time by 80%.
Algo Execution Platform
Centralized orchestration engine managing 12 concurrent strategies with <50ms tick-to-trade latency.
Finance Command Center
Local-first personal finance system with automated net-worth tracking and push-notification billing alerts.
Agentic Grid Bot
Resilient trading bot treating Google Sheets as a "Source of Truth" database for collaborative state management.
Signal Bridge
Middleware connector bridging TradingView Webhook alerts to MT5 desktop execution with auto-risk calculation.
Team Productivity OS
Zero-cost resource management dashboard with strict RBAC, replacing complex Jira workflows for agencies.
Three Ways to Engage
Whether you want a ready-to-run script today or a full product built to your spec — there's a path that fits your budget and timeline.
Scripts, Bots & Full Platforms
From a focused Python script to a full-stack trading platform with a React dashboard — every product ships with complete source code, a setup guide, and a 1:1 walkthrough. You own it outright, forever.
Your Strategy, Built to Spec
Have a specific strategy or workflow in mind? I take your requirements and build a production-grade system around them — not a generic template.
Product Leadership On Demand
Need a Technical PM who can also write the code? I embed into your team — defining the roadmap, writing specs, building prototypes, and shipping.
Not sure which path fits? → Ask me on WhatsApp and I'll tell you in 5 minutes.
Product Manager Who
Ships Systems That Scale
Leading Product Operations at a Global Center of Excellence (CoE), delivering enterprise-grade systems that survive production chaos.
- ✔13+ Years ExperienceFinTech, Trading Systems & Enterprise AI
- 🎯Measurable Impact80% review time ↓<50ms latency₹50K+ saved
- 🚀Full-Stack Product LeaderFrom PRDs to Python • Strategy to Execution
Specialize in building 0-to-1 products where ambiguity meets high technical complexity. Experience shipping AI systems that pass InfoSec, trading platforms that handle real money, and automation that actually works.
"Great systems aren't flashy. They're reliable, scalable, and quietly solve hard problems."
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Let's Build Something
That Actually Works
Open for contract-based projects, consulting, and full-time opportunities.