AI Systems Architect
Engineering
Intelligence.
I architect production AI infrastructure — LLM orchestration, RAG
pipelines,
scalable backend systems, and native mobile applications.
About
The relentless pursuit of
engineered excellence.
Computer Science engineer specializing in artificial intelligence and machine learning, with a secondary focus in financial technology. My practice spans autonomous multi-agent AI orchestration, generative adversarial networks for image synthesis, domain-specific large language models with adversarial robustness, and native Android application development deployed to production.
Previously, I architected AI infrastructure at Broadrange AI (Chicago) — engineering legal domain LLMs with retrieval-augmented generation and prompt injection defense systems — and delivered production Android applications at Techpuram Technology (Madurai) with verified distribution on the Google Play Store.
Expertise
Precision-engineered
capabilities.
AI & LLM Infrastructure
Production RAG pipelines, BERT-driven intent classification, multi-agent orchestration with dynamic tool routing, adversarial prompt defense, and autonomous AI systems engineered for scale and reliability.
Native Mobile Engineering
Production-grade Android applications — Kotlin, Jetpack Compose, CameraX, on-device inference via TensorFlow Lite. Applications with verified distribution on Google Play and runtime GPS validation.
Deep Learning & Vision
GAN-based super-resolution architectures (Real-ESRGAN), U-Net semantic segmentation for medical imaging, and transfer learning pipelines optimized for production inference latency.
Backend & Data Architecture
Scalable microservice topologies, REST API design, vector database integration, schema-aware query generation, and end-to-end deployment orchestration from prototype to production.
Frontend & Data Visualization
Responsive interface engineering with React and Next.js. Interactive graph and data visualizations via D3.js. Component-driven architecture for maintainable, performant UIs.
Distributed & Embedded Systems
Smart contract development on Ethereum, decentralized consensus mechanisms, hardware-level IoT sensor integration with embedded C++ firmware, and real-time telemetry systems.
Career
Professional
trajectory.
AI Engineer
Broadrange AI · Chicago, Illinois
Architected Legal Domain LLM with retrieval-augmented generation infrastructure. Engineered document ingestion pipelines with semantic chunking for contextual grounding. Implemented PromptGuard V2 for adversarial prompt defense. Reduced hallucination through curated legal corpus training and retrieval-augmented validation.
Android Engineer
Techpuram Technology · Madurai, Tamil Nadu
Engineered Geo GPS Camera — production Android application with verified Play Store distribution. Developed with Kotlin, Jetpack Compose, CameraX, and Maps SDK. Implemented server-side GPS spoofing detection. Integrated on-device ML inference for print quality defect analysis via TensorFlow Lite.
Education
B.Tech (Hons) Computer Science & Engineering
RV University, Bangalore · 2023 — 2027
Specialization: AI & Machine Learning · Minor: Financial
Technology
Recipient — Best Project Award, Structured
Innovation
Higher Secondary — PCM
Delhi Public School, Patna · 2010 — 2023
Credentials
Programming in Modern C++
NPTEL · 2024 — 2025
Supervised ML: Regression & Classification
Stanford Online · 2024
Business Analysis Essentials
Microsoft & LinkedIn · 2024
Selected Work
Systems
I've architected.
IntelliChat AI
Microservice-based AI orchestration platform with dynamic tool routing across RAG, web retrieval, and conversational services. BERT-driven intent classification with real-time prompt triage and multi-step reasoning chains.
GraphRAG
Hybrid retrieval architecture combining NetworkX knowledge graph traversal with FAISS vector similarity search and Groq LLM inference. Interactive D3.js topology visualization with document ingestion and semantic chunking.
Legal AI LLM
Domain-specific large language model engineered for legal corpus analysis. PromptGuard V2 integration for adversarial prompt injection defense. RAG architecture with contextual grounding and hallucination mitigation.
AI Database Manager
Natural language to SQL transpilation via locally hosted Mistral inference (Ollama). Schema-aware prompt engineering with SQL validation, snapshot-based rollback, and human-in-the-loop execution gates.
Offline Voice Intelligence
Fully offline conversational AI for Apple Silicon. Local speech-to-text pipeline, on-device LLM inference, multi-turn conversation state management. Zero cloud dependency — complete air-gapped intelligence.
Image Super-Resolution
Fine-tuned Real-ESRGAN architecture via transfer learning with custom composite loss balancing on paired high-resolution/low-resolution datasets. Production-grade upscaling pipeline.
Brain Tumor Segmentation
U-Net encoder-decoder architecture for pixel-level semantic segmentation of brain tumors from MRI volumes. Precision lesion boundary delineation with multi-class tissue classification.
Geo GPS Camera
Production Android application with verified Play Store distribution. Secure location-tagged image acquisition with server-side GPS coordinate validation and spoofing detection infrastructure.
Decentralized Voting Protocol
Tamper-proof electoral system on Ethereum smart contracts. Immutable ballot recording, transparent audit trails, and decentralized consensus verification via Web3.js interface.
Glucosence
Non-invasive glucose concentration monitoring via saliva-based biosensor input. Embedded C++ firmware with custom analog sensor integration, real-time telemetry display, and calibration routines.
Recommendation Engine
Content-based and collaborative filtering recommendation system with feature extraction, similarity computation, and real-time inference pipeline served via Flask API.
Credibility Analysis Engine
NLP-driven news credibility classification system with TF-IDF vectorization, ensemble classification models, and real-time inference API for editorial verification workflows.
Contact
Let's engineer
something remarkable.
Whether it's production AI infrastructure, a native application, or an ambitious technical challenge — I welcome conversations that lead to exceptional engineering outcomes.