Innovative AI Solutions &
Technical Leadership
Designing production-grade Multi-Agent environments, advanced RAG architectures, and highly resilient cloud infrastructures. Melding deep Machine Learning knowledge with pragmatic systems engineering.
Projects Showcase
Real-world AI systems, high-scale architectures, and developer frameworks.
Enterprise Multi-Agent Orchestrator
Architected a secure framework coordinating 20+ specialized LLM agents. Automates the full software development lifecycle via specialized agents (Agentic Team comprising BA, Dev, QA/QC, and Security), dependency checks, and synthetic data verification.
Scalable SaaS Chatbot Platform
Designed and deployed a scalable multi-tenant SaaS Chatbot platform with modular plugin support and Omni-channel integration. Serves both Internal corporate chatbots and commercial SaaS setups, using advanced RAG and a MAP Portal for SaaS management.
Ultra Low-Latency RAG Pipeline
Built a production hybrid semantic-lexical search pipeline over 5 million technical files, leveraging semantic chunking and reranking models. Optimized search speed by 45%.
AI Evaluation & Observability Pipeline
Designed an end-to-end LLM/RAG Evaluation Pipeline combining Golden, Adversarial, and Regression test sets with LLM-as-Judge scoring, paired with multi-layer guardrails and full production observability.
AutoGate OCR System
Intelligent optical character recognition (OCR) system for automatic port gate control. Utilizes OpenCV, YOLOv8, and TensorFlow for real-time license plate and container code recognition with high accuracy.
Enterprise eKYC Platform
Highly secure electronic Know Your Customer (eKYC) platform featuring passive facial liveness detection, face matching, and automated ID card parsing with deep learning.
High-Scale Warehouse Microservices
Engineered a high-performance inventory microservice architecture handling millions of concurrent users built with .NET 10 templates for high reusability and rapid deployment. Implemented gRPC, Kafka queues for event-driven messaging, and Hybrid Caching (Memory + Redis).
Enterprise Real-Time Datahub & AI Observability
Built a high-throughput, low-latency Big Data platform using CDC (Change Data Capture) to stream and process enterprise data in real-time. Integrated an AI-powered Observability Agent to automatically analyze multi-source logs, detect anomalies, and trigger instant system alerts.
Real-Time AI Inference Gateway
Engineered a low-latency API gateway managing massive incoming prompts, integrating advanced Web Application Firewall (WAF) protection, sliding-window rate limiting, dynamic fallback routing, and hybrid caching layers.
Claude Structure Template
A structured output definition template for Claude LLM, optimized for building independent deterministic AI agents.
Production-Ready .NET 10 Template
A production-ready skeleton codebase following DDD/CQRS patterns, integrated with Native AOT for high-speed microservices development.
Loop Engineering
An open-source framework and CLI toolkit for designing automation loops that orchestrate AI coding agents over time, replacing manual prompting with systematic, schedulable agent workflows.
19 AI Kits for Software Engineering
A commercial bundle of 19 AI-powered kits (prompt packs, agent templates, and automation workflows) covering the full software engineering lifecycle, from requirements and coding to testing, review, and deployment.
10 AI Kits for One-Person Companies (OPC)
A commercial bundle of 10 AI kits built to help solo founders and one-person companies run marketing, operations, finance, and customer support with AI-driven workflows instead of hiring a full team.
Technical Skills & Expertise
Interactive visualization of domain skill matrix and connection layout.
Domain Capabilities
Radar visualization mapping Level, Confidence and Learning Agility.
Interactive Skill Connectivity Matrix
Dynamic Force LayoutHover domains to highlight connected tech. Drag nodes to explore. Scroll/Pinch to zoom.
Detailed Technology Stacks
A comprehensive breakdown of GenAI frameworks, embedded IoT systems, security audits, and enterprise architecture blueprints.
GenAI & Automation Core
n8n (Advanced Workflows), LangChain, LangGraph
RAG, CAG (Cache Augmented), Prompt Engineering
Qdrant (Optimization & Scaling)
Backend Mastery
C# (Deep Dive), .NET 8/9/10 Preview, Native AOT
Microservices, Clean Arch, DDD, CQRS, Event-Driven
Memory Management, Concurrency, Async/Await patterns
Observability & DevOps
Grafana (Full Stack Dashboards), Prometheus, ELK
Docker, K8s, Nginx, CI/CD Pipelines
AI & Computer Vision
OpenCV, PaddleOCR, Dlib
LLaMA, DeepSeek, GPT Integration
eKYC, AutoGate OCR, Face Recognition
Frontend & Integration
Angular, React Native, TypeScript
REST/gRPC, Kafka, RabbitMQ, N8N
Web3.js, EVM smart contracts (learning)
Security & Quality
SonarQube, Nessus, WAF, SASE, Zero Trust
Static Code Analysis, JWT, Identity Management
AI-based threat detection, Automated vulnerability scanning
Embedded IoT & Edge AI
ESP32, Arduino, Sensor Fusion
MQTT, WebSocket, BLE, I2C/SPI
Smart Home, Smart Traffic, Edge AI Inference
Solution Consulting & Arch
Enterprise Solution Design, Technology Assessment, Migration Strategy
Clean Architecture, Event-Driven, CQRS/DDD, Multi-Tenancy
Technical Roadmap, Team Mentoring, Stakeholder Communication
Career Journey
A chronological look at my leadership and development impact.
Lead AI Engineer & Part-time Tech Lead
2024 - PRESENTTechsphereX Solutions
Overseeing architecture for next-generation multi-agent frameworks and security guardrails. Mentoring 8 developers, leading agile sprint cycles, and advising partners on corporate IP protection during AI deployment.
- Orchestrated hybrid cloud architectures for multi-agent workflows.
- Saved 30%+ in GPU infrastructure costs via inference caching layers.
- Spearheaded secure on-premise model fine-tuning systems.
Senior AI Engineer
2022 - 2024FutureMind Laboratories
Designed robust retrieval-augmented generation pipelines, complex agentic tool integrations, and custom model deployments. Spearheaded evaluations for model bias and hallucination.
- Built custom vector embedding pipelines processing 5M+ entries.
- Integrated model caching to drop latencies under 120ms.
- Pioneered model quantization strategies to support low-spec hardware.
AI / ML Engineer
2020 - 2022Aether Analytics
Developed time-series predictive modeling and classic supervised algorithms for manufacturing and supply-chain clients.
- Created demand-forecasting models with 94% forecast precision.
- Managed complex pipeline workflows with Apache Airflow.
- Constructed automated data sanitization and outlier removal pipelines.
Let's Build Something Intelligent
Looking for a part-time Technical Lead, AI consultant, or custom LLM system architect? Let's connect to analyze your dataset constraints and orchestrate next-generation agent environments.
