Building production-grade systems at the intersection of finance, AI, and distributed architectures
I architect and build high-performance systems spanning quantitative finance, machine learning pipelines, and full-stack applications. My work focuses on production-ready solutions that bridge complex backend infrastructure with intuitive user experiences.
- ๐ฌ Current Focus: Quantitative trading systems, ML-driven analytics, and distributed architectures
- ๐๏ธ Building: Real-time data pipelines, AI-powered APIs, and scalable web applications
- ๐ฏ Expertise: Full-stack development, ML deployment, Docker orchestration, and API design
- ๐ Interests: Algorithmic trading, NLP/LLM applications, and maritime tech
- ๐ก Philosophy: Turning complex problems into elegant solutions
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โก OmniQuantUnified Quantitative Research & Trading Simulation Platform A hybrid Python / Rust / TypeScript system for strategy research, alpha generation, backtesting, and low-latency execution simulation.
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๐๏ธ pv-openai-agents-jsMulti-Agent Workflows & Voice Agent Framework A lightweight, powerful TypeScript framework for orchestrating complex multi-agent collaborative workflows and streaming real-time voice agents.
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๐ก FIX-SBE-EngineHigh-Performance Low-Latency Protocol Engine High-speed implementation of FIX (Financial Information eXchange) and SBE (Simple Binary Encoding) protocols for ultra-low-latency electronic trading.
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๐ฅ isp_banSupabase & Postgres Ban & Auth Management Engine A specialized backend service built for network/ISP-level client ban management, user authorization, and row-level security policy control.
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๐ ZenithFiDecentralized Finance Portal & Dashboard A full-stack, visually rich decentralized finance (DeFi) portal for monitoring assets, liquidity pools, and real-time yield analytics.
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๐ข Maritime-Vessel-TrackingFull-Stack Maritime Vessel Tracking System A geospatial tracking and mapping application designed to monitor maritime vessel coordinates, route history, and real-time transit telemetry.
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๐ง assig-ai-tutCareer Recommendation & Matching Engine A machine learning engine focused on mapping student and user attributes to optimal career paths using scoring models.
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๐๏ธ TheDecentralEyeCollaborative Career Roadmap & Mentor Platform A community-driven, decentralized platform helping students and aspiring developers kickstart their careers in modern tech spaces.
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๐ฏ Domain Expertise & Skills Matrix
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Core ML/AI Skills:
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Advanced AI:
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Agentic Systems & Frameworks:
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Automation & Voice Tech:
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Quantitative Finance:
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Trading Tech Stack:
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Backend Development:
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System Design:
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Data Science:
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Tools & Techniques:
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DevOps Stack:
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Infrastructure:
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Full-Stack Development:
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Engineering Practices:
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Database Technologies:
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Database Design:
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Product Skills:
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Technical PM:
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| Skill Category | Proficiency |
|---|---|
| ๐ Python Development |  |
| ๐ค AI/ML Engineering |  |
| ๐ค AI Agents & Automation |  |
| โ๏ธ React & Frontend |  |
| ๐ Quantitative Finance |  |
| ๏ฟฝ๏ฟฝ Docker & DevOps | |
| ๐๏ธ Database Design |  |
| โก FastAPI & Backend | |
| ๐ Data Science |  |
| โ๏ธ Cloud Architecture |  |
| ๐ง System Design |  |
class PushkarKumarVats:
def __init__(self):
self.name = "Pushkar Kumar Vats"
self.role = "Full-Stack Engineer | Quant Developer | AI Agent & Automation Architect"
self.location = "India ๐ฎ๐ณ"
def current_work(self):
return {
"Quantitative Systems": [
"High-Frequency Trading (HFT)",
"Algorithmic Trading Engines",
"Risk Analytics & Portfolio Optimization"
],
"AI/ML Engineering": [
"Large Language Models (LLMs)",
"NLP Pipelines & Retrieval Systems",
"Model Deployment & MLOps",
"Computer Vision Systems"
],
"AI Agents & Automation": [
"Multi-Agent Orchestration (CrewAI, AutoGen)",
"Stateful Workflows (LangGraph, Inngest)",
"Real-Time Voice Agents (Vapi, LiveKit, ElevenLabs)",
"Workflow & Order Automation (n8n, Make)"
],
"Full-Stack Engineering": [
"Real-Time WebSocket Architectures",
"Microservices & Distributed Systems",
"API Gateways & Service Mesh",
"Cloud-Native Applications"
],
"Infrastructure": [
"Kubernetes Orchestration",
"Docker Performance Optimization",
"CI/CD Automation",
"Scalable Cloud Infra (AWS/GCP)"
]
}
def learning_next(self):
return [
"Advanced C++ for Ultra-Low-Latency Systems",
"Distributed Systems Internals & CAP Theorem",
"Voice Streaming & WebRTC Protocols",
"Rust for High-Performance Computing",
"Real-Time Event Streaming (Kafka)",
"Advanced Quant Research & Strategies"
]
def tech_stack(self):
return {
"Languages": [
"Python", "TypeScript", "JavaScript", "C++", "SQL", "Bash"
],
"AI/ML": [
"PyTorch", "TensorFlow", "Scikit-learn", "Pandas", "NumPy"
],
"AI Agents & Automation": [
"CrewAI", "LangGraph", "LangChain", "n8n", "Make", "LiveKit", "Vapi"
],
"Backend": [
"FastAPI", "Node.js", "Express", "GraphQL", "gRPC"
],
"Frontend": [
"React", "Next.js", "Vite", "TailwindCSS"
],
"Databases": [
"PostgreSQL", "Redis", "MySQL", "Supabase"
],
"DevOps": [
"Docker", "Kubernetes", "AWS", "GCP", "Linux"
],
"Tools": [
"Git", "Pytest", "Jupyter", "Prisma"
]
}
me = PushkarKumarVats()
If you find my work valuable and want to support my open-source contributions and projects, consider buying me a coffee!
pushkarkumarvats@upi
