BUILDING INTELLIGENT SYSTEMS FOR THE REAL WORLD.
Engineering-minded builder with hands-on experience across the full development lifecycle — system design, implementation, testing, and deployment. Founder of Bizento Software Solutions and researcher in privacy-preserving federated AI and computer vision.
A BUILDER AT THE INTERSECTION OF AI, SYSTEMS & PRODUCTION SOFTWARE.
I am an Artificial Intelligence and Machine Learning student at Sapthagiri NPS University in Bengaluru with hands-on experience across the full software development lifecycle.
As the co-founder of Bizento Software Solutions, I build custom web applications, ERP/CRM platforms, booking systems, and cloud-deployed tools for businesses across diverse sectors.
My engineering practice spans Java, JavaScript, Python, Node.js, React.js, modern databases (MySQL, MongoDB), RESTful API design, and production ML pipelines with PyTorch, TensorFlow, OpenCV, and LLM APIs.
Whether designing federated learning frameworks (FedMed), smart AI attendance systems with published research, or winning ideathons and hackathons, I focus on shipping software that holds up under real use.
Co-founded a software studio building custom software, web applications & portals, ERP/CRM systems, booking & appointment platforms, inventory & billing tools, payment gateway integration, and cloud deployment for small and mid-sized businesses.
PRACTICAL INTELLIGENCE ARCHITECTURES.
Centralised Rental Management System
Multi-tenant property management platform (Java, React.js, Node.js, MySQL) built through the full engineering lifecycle — requirements analysis, system architecture, modular back-end development, and database normalisation.
Property managers face massive inefficiencies handling multi-tenant leases, maintenance requests, and payment reconciliations across disconnected legacy spreadsheets and non-scalable tools.
Designed and delivered a modular multi-tenant architecture with third normal form relational database models, rigorous REST API contracts, and an intuitive React interface with concurrency protection.
Smart & Sustainable University Resource Management System
Data-driven scheduling system (Java, JavaScript, MySQL) that models historical usage patterns to cut scheduling conflicts and improve facility utilisation.
University campuses struggle with classroom, lab, and facility allocation conflicts, leading to underutilized campus infrastructure and recurring scheduling overlaps.
Built a data-driven scheduling engine with a cross-functional team using Git-based version control and agile practice throughout the software engineering lifecycle.
AI Automation Platform for Business Operations
Full-stack app (Python, React.js, Node.js) integrating third-party LLM APIs to automate multi-step business workflows, with a Node.js orchestration layer handling workflow state and persistence.
Small and mid-sized enterprises lose valuable time executing repetitive multi-step operational workflows such as document routing, client communication, and record synchronization.
Delivered the feature end to end — React.js interface through to the database layer — integrating LLM APIs and a robust Node.js orchestration engine.
Smart AI Attendance System Using ML Models
Independent project (Python, OpenCV): built the full pipeline from data collection through model evaluation, then deployed it as a full-stack web app with live tracking and an admin dashboard.
Traditional manual roll-calls and biometric touchpoints cause physical congestion, allow proxy attendance, and introduce error-prone paperwork.
Constructed a high-throughput computer vision pipeline using OpenCV and machine learning classifiers, packaging the complete solution with live tracking into a full-stack web app.
FedMed — Federated Generative AI for Chest X-Ray Diagnosis
Designed a federated learning system letting multiple hospitals train one model together without any hospital's data leaving its own servers, and wrote the full technical report on the architecture.
Medical diagnostic models demand large multi-center radiology datasets to generalize, yet healthcare privacy regulations strictly forbid transmitting raw patient records outside hospital servers.
Designed a decentralized federated learning architecture where independent clinical nodes compute parameter gradients on local hardware and transmit only aggregated updates.
ENGINEERING WITH COMPUTATIONAL DEPTH.
Every technology is evaluated on system resilience, algorithmic efficiency, and ability to handle production throughput.
Languages
3 ITEMSCore programming languages powering systems, algorithms, and applications.
Modular backend systems, multithreading, OOP architecture, and enterprise software.
Modern ES6+, interactive web applications, Node.js runtimes, and frontend state.
AI/ML modeling, OpenCV computer vision, Flask/Django backends, and workflow automation.
Web & Backend
4 ITEMSScalable web engineering, full-stack frameworks, and orchestration layers.
Dynamic user interfaces, state management, component architecture, and responsive UX.
Event-driven orchestration, REST API routing, session management, and microservices.
Lightweight Python microframework for rapid API creation and ML model serving.
Secure, batteries-included MVC Python web framework with robust ORM.
ML / AI (Extracurricular)
5 ITEMSApplied machine learning, deep learning, computer vision, and foundation models.
Deep learning models, federated learning pipelines (FedMed), and tensor computation.
End-to-end machine learning, model training, and predictive architectures.
Supervised and unsupervised learning, evaluation metrics, and feature pipelines.
Computer vision, facial recognition, image preprocessing, and real-time video analytics.
Integrating foundation models into multi-step business workflow automation platforms.
Data & Databases
4 ITEMSRelational normalization, NoSQL storage, and structured query optimization.
Database normalisation, ACID compliance, complex relational queries, and indexing.
Document-oriented NoSQL storage for flexible schemas and unstructured payloads.
Layered API architecture, contract validation, error handling, and concurrency.
Version control, collaborative branching, sprint execution, and code review lifecycles.
Specialized Certifications & Cloud Modules
Modern AI & Prompt Engineering
Includes Modern AI principles, prompt design, and foundational networking.
Azure AI Foundry & Agent Workflows
Agent workflows, MCP tool integration, and Microsoft 365 Copilot extensibility.
FOUNDER EXPERIENCE & COMPUTATIONAL RIGOR.
Combining commercial software startup leadership with academic rigor at Sapthagiri NPS University.
Founder & Technical Lead
Co-founded a software studio building custom software, web applications & portals, ERP/CRM systems, booking & appointment platforms, inventory & billing tools, payment gateway integration, and cloud deployment for small and mid-sized businesses.
- •Serving clients across healthcare, education, retail & hospitality, manufacturing & distribution, fitness & sports, and professional services.
- •Own solution scoping, architecture, database design, and technical delivery end to end.
- •Engineered resilient multi-tier backends with Java, Node.js, and Python, coupled with modern React frontends and cloud deployments.
GenAI & Agentic AI Industry Delegate
GenAI and agentic AI industry talks plus a hands-on workshop, with industry exposure via Accenture, Deloitte, Nasscom, and Capgemini.
- •Participated in hands-on workshops exploring agentic AI orchestration, enterprise prompt patterns, and MCP tool protocols.
- •Received direct architectural exposure and discussions with engineering leadership from Accenture, Deloitte, Nasscom, and Capgemini.
B.Tech AI & ML Undergraduate (CGPA 9.64)
Maintaining a 9.64 CGPA while conducting hands-on engineering across full development lifecycles, computer vision, multi-tenant web systems, and federated generative AI.
- •Authored research paper on 'Centralised Rental Management System' (Java, React.js, Node.js, MySQL) ready for publication.
- •Built 'Smart AI Attendance System Using ML Models' (Python, OpenCV) with full research paper under review.
- •Designed 'FedMed' multi-hospital federated learning architecture for chest X-ray diagnosis without raw data sharing.
Sapthagiri NPS University
Batch 2024–2028 with an exceptional CGPA of 9.64. Rigorous foundations in core AI/ML systems, system design, object-oriented Java programming, database normalization, algorithms, and deep neural architectures.
HACKATHONS & ACTIVE PROTOTYPING.
Iterating from real-world friction to functioning prototypes through rapid design cycles and strict engineering discipline.
1st Place Winner — SNPSU InnovEdge Ideathon 2026
Won 1st place designing a data-driven university facility scheduling and resource allocation engine cutting conflicts and improving utilization.
Top 10 Finalist — XYPERIA Hackathon 2026
Built full-stack workflow automation using LLM APIs and Node.js orchestration. Presented live system to senior industry engineering panelists.
Centralised Rental Management System
Multi-tenant Java/React/MySQL platform engineered through full lifecycle; authored comprehensive research paper on system architecture.
Smart AI Attendance System Using ML Models
End-to-end Python/OpenCV vision pipeline with live dashboard. Research paper currently under review prior to journal submission.
Cisco Networking Academy
Completed 3 certifications including Modern AI & Prompt Engineering and networking fundamentals.
Microsoft Learn — Azure AI Foundry
Completed 6 modules covering Azure AI Foundry, agent workflows, Model Context Protocol (MCP) tool integration, and Microsoft 365 Copilot.
Active Research & Engineering Experiments
FedMed Federated AI Architecture
Multi-hospital federated generative AI system for chest X-ray diagnosis keeping patient data strictly on local servers.
Smart AI Attendance System
End-to-end computer vision attendance tracking pipeline with live tracking and admin dashboard under journal review.
EXPLORING EMERGING ARCHITECTURES.
Investigating the frontier of multi-agent cognitive topologies, privacy-preserving federated ML, and real-time computer vision.
LET'S BUILD
SOMETHING INTELLIGENT.
Whether it's an AI architecture, research initiative, enterprise software build for Bizento, or an engineering role, I'd love to connect.