Building
Intelligent
Systems.
I architect and build end-to-end AI products — from high-precision RAG pipelines and autonomous tool-using agents to high-throughput FastAPI backends and streaming Next.js applications.
The Builder.
I am a Full-Stack AI Engineer architecting intelligent systems and shipping real-world applications.
My work sits at the intersection of Artificial Intelligence, Generative AI, backend systems, and modern web applications.
I enjoy taking ideas from concept to working products — designing AI reasoning workflows, engineering low-latency APIs, connecting vector stores to applications, and delivering reliable user experiences.
My primary focus spans Machine Learning, Deep Learning, Large Language Models, high-precision RAG systems, Autonomous AI Agents, and containerized backend microservices.
Foundational algorithms, deep neural architectures & embeddings
Prompt augmentation, agentic reasoning & autonomous planning
FastAPI microservices, async worker pipelines & PostgreSQL
Next.js 16, React 19, TypeScript & streaming HTTP connections
End-to-end architecture, Docker containerization & production runtime
Selected Work.
RAG Knowledge Assistant
High-precision contextual QA system built to eliminate hallucinations across enterprise documents via semantic chunking, dense vector retrieval, and prompt augmentation.
- Semantic chunking with overlapping token windows to preserve document context.
- PostgreSQL + pgvector hybrid retrieval combining dense semantic and keyword indexing.
- Dynamic prompt synthesis ensuring strict ground-truth attribution in LLM responses.
- Asynchronous ingestion workers supporting PDF, Markdown, and tabular sources.
[ UNSTRUCTURED INPUT ] (PDF / MD / TXT)
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▼
[ SEMANTIC CHUNKING & RE-TOKENIZATION ]
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[ HIGH-DIMENSION EMBEDDING MODEL ]
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[ POSTGRESQL + PGVECTOR INDEX ] ◄── (SIMILARITY QUERY)
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[ RE-RANKING & CONTEXT ASSEMBLY ]
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[ GROUNDED PROMPT INFERENCE ] ──► [ VERIFIED OUTPUT ]Autonomous AI Agent Engine
Goal-driven reasoning system implementing the ReAct paradigm. Decomposes high-level instructions into executable sub-tasks, calls sandboxed tools, inspects errors, and self-corrects.
- Plan-and-solve execution loop with deterministic step evaluation.
- Sandboxed Python code execution and external API tool arbitration.
- Dynamic memory buffer retaining intermediate tool outputs and reflection states.
- Terminal condition validator preventing infinite recursion and token runaway.
Full-Stack AI Application Platform
End-to-end cloud platform connecting asynchronous FastAPI backend microservices to a real-time streaming Next.js 16 frontend interface.
- Streaming response generation over Server-Sent Events (SSE) with zero client latency lag.
- Decoupled asynchronous worker queue architecture for long-running generative tasks.
- Schema-first data contracts validated using Pydantic models and TypeScript interfaces.
- Containerized multi-service Docker Compose deployment with PostgreSQL persistence.
Machine Learning Predictive Pipeline
Structured quantitative modeling pipeline covering systematic exploratory data analysis, algorithmic feature transformation, and rigorous cross-validated benchmark evaluation.
- Automated outlier mitigation, variance thresholding, and categorical encoding pipelines.
- Systematic hyperparameter search with stratified k-fold cross-validation.
- Comprehensive model diagnostic reporting: ROC-AUC, precision-recall curves, and residuals.
- Exportable model artifacts with deterministic serialization for inference scoring.
The Stack.
Generative AI & LLMs
State-of-the-art inference, semantic retrieval, and autonomous multi-agent coordination pipelines.
Machine Learning & Modeling
Supervised and unsupervised architectures, embeddings, and quantitative model benchmarking.
Backend & Systems
High-throughput asynchronous servers, structured endpoints, and schema-driven contracts.
Frontend & Interfaces
Server-side rendering, streaming interfaces, and ergonomic design systems.
Data & Persistence
Vector storage, structured persistence, ETL transforms, and matrix computations.
DevOps & Tooling
Reproducible containerization, distributed workflows, CI/CD, and zero-downtime environments.
Idea to Product.
Problem Framing
Isolating real-world friction, evaluating AI feasibility, defining evaluation metrics, and establishing ground truth constraints.
Architecture
Designing service boundaries, latency budgets, data schemas, vector indexing topologies, and failure-handling strategies.
AI & Reasoning
Assembling RAG chunking algorithms, semantic retrieval pipelines, LLM prompt templates, and autonomous agent tool harnesses.
Backend & APIs
Implementing asynchronous FastAPI microservices, PostgreSQL transactions, connection pooling, and background task queues.
Interface
Building responsive Next.js 16 user interfaces with Server-Sent Events (SSE) streaming, optimistic updates, and clean typography.
Deployment
Containerizing services in Docker, configuring environment isolation, automating CI validation, and shipping live.
AI is not
just a model.
It is a System.
Data
The grounding foundation. Without strict preprocessing and semantic chunking, models hallucinate.
Models
The reasoning engines. Selected for inference efficiency, context window stability, and domain task fit.
Context
The working memory. RAG pipelines, pgvector similarity lookups, and dynamic token allocation.
Tools
The agency layer. Granting models deterministic execution via sandboxed code, search, and APIs.
APIs
The communication bus. FastAPI backends routing validated schemas with low latency and async safety.
Interfaces
The user bridge. Modern Next.js streaming UX transforming complex model outputs into clarity.
Products
The terminal objective. Delivering measurable utility, high reliability, and dependable automation.
A model is only one node in the graph. Production utility requires data fidelity, tool orchestration, reliable backend infrastructure, and streaming interfaces.
Credentials.
Master of Computer Applications
- Advanced Artificial Intelligence & Neural Architectures
- Deep Learning Systems & Optimization Methods
- Natural Language Processing & Generative Models
- Distributed Computing & Intelligent Systems
Bachelor of Computer Applications
- Object-Oriented Programming (Python, C++, Java)
- Relational Database Systems (SQL, Schema Design)
- Data Structures, Algorithms & Computational Complexity
- Full-Stack Web Architecture & RESTful APIs
Let's Build
Something
Intelligent.
Whether you need a high-precision RAG knowledge system, an autonomous tool-using agent engine, or a complete full-stack AI application architecture, my inbox is open.
