SURESH
BALARAMAN
Product thinking. Builder depth.
Real systems that ship.
What I Build
From strategic product thinking to hands-on engineering.
I ship systems that scale, not just MVPs.
Product Management
End-to-end product strategy, roadmapping, PRDs, and stakeholder alignment. From 0-to-1 launches to scaling existing products.
Algorithmic Trading Systems
Custom trading bots, signal engines, and execution platforms. Multi-broker integration with real-time risk management.
AI/LLM Integration
Enterprise-safe AI implementations. Intent parsing, workflow automation, and privacy-first GenAI solutions.
System Architecture
High-performance, scalable system design. Microservices, event-driven patterns, and low-latency data pipelines.
Full-Stack Development
Modern web applications from concept to deployment. React/Next.js frontends with Python/FastAPI backends.
Automation & Tooling
Custom internal tools that 10x productivity. Workflow automation, data pipelines, and operational dashboards.
Data Engineering
Real-time analytics, market data processing, and business intelligence pipelines that scale.
Technical Advisory
Architecture reviews, tech stack decisions, and hands-on guidance for engineering teams.
Have a project in mind? Let's discuss.
Start a ConversationSTRATUM
ALPHA
Institutional-grade quantitative validation engine.
Python • NumPy • Joblib • Plotly
The Problem
Why standard tools fail
Overfitting is the Enemy
Most traders find a strategy that worked last week and bet money on it. This is 'Curve Fitting'. I needed a system that could rigorously stress-test strategies across years of data to find true statistical robustness, not just luck.
Compute Constraints
Validating a single strategy requires checking 10,000+ parameter combinations. On standard tools (like TradingView), this is impossible. Python loops are too slow. I needed high-performance compute architecture at home.
Architecture
High-Performance Compute
Vectorization over Iteration
Replaced standard Python loops with vectorized array operations. Utilized CPU SIMD instructions to process entire datasets simultaneously.
Parallel Execution
Forked the validation process across all 16 CPU cores. Optimization is an 'Embarrassingly Parallel' problem, allowing for brute-force search of the parameter space.
3D Robustness Mapping
Instead of finding the 'single best setting', the engine generates 3D heatmaps to identify 'Plateaus of Stability'—regions where the strategy survives parameter drift.
SYSTEM_VISUALIZATION.PY
OPTIMIZATION_COMPLETE
10,000 COMBINATIONS SCANNED
REFLECTION
"The engine saved me from deploying three strategies that looked profitable on paper but failed the Walk-Forward test. It proved that Validation > Optimization."
AI STRATEGY
COPILOT
Zero-to-One FinTech UX.
Conversational Interface for Options Execution.
Finance isn't creative writing.
Options trading is incredibly powerful but operationally painful. Constructing a multi-leg strategy requires finding 4 specific strike prices, calculating Deltas, and placing 4 separate orders.
Junior traders understood the theory ("I'm Bullish") but couldn't execute fast enough to stay safe.
Intent-to-Template Architecture.
We don't let the AI do math. LLMs are bad at math.
Instead, we use a Hybrid Architecture:
Intent Recognition
Google Gemini parses vague user intent ('Safe bullish bet') into structured JSON tags.
Deterministic Math
A Python engine takes the JSON and scans the live Option Chain to find the mathematically optimal strikes.
Multi-Account Execution
One voice command fires orders to 10+ connected Zerodha accounts simultaneously.
{
"intent": "BULLISH",
"risk_profile": "LOW",
"strategy": "DEBIT_SPREAD"
}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.
Ready to build systems
that scale?
Currently open for new engineering challenges.
Let's discuss architecture, strategy, or just geek out over tech.