Hello, I'mStephan I.
Final-year B.Tech (AI & DS) student crafting production-grade ML systems and delightful web experiences — from data pipelines to pixel-perfect UI.
About Me
👋Professional Summary
Final year B.Tech AI & Data Science student who built real-world experience through internships alongside coursework. From full-stack development to data analytics, I've shipped production-ready solutions across mobile and web. Now channeling this foundation to grow deeper into AI engineering and intelligent systems at core.
🎯Career Objective
Seeking a full-stack developer role with AI/ML integration focus, where I can build data-driven products end-to-end and contribute to innovative solutions that make a real impact.
💪Key Strengths
AI/ML Problem-Solving
Pragmatic models and data pipelines that ship to production
Full-Stack Delivery
Flutter/Firebase and React/Next.js with clean architecture
Data Visualization
Power BI dashboards and data modeling for actionable insights
Real-Time Systems
Streaming, monitoring, and hardware-software integrations
Production Readiness
Cloud deploys, CI/CD habits, and maintainable code
🎓Education
Bachelor of Technology
Specialization: AI & Data Science
Anna University - Prince Dr K Vasudevan College of Engg. and Tech. • 2022-2026
📚Currently Learning
Constantly expanding my skillset and staying current with the latest technologies:
✨What Drives Me
I enjoy simplifying complex systems, collaborating with talented teams, and shipping clean, testable code that users can trust. Building software that solves real problems and makes a positive impact is what motivates me every day.
Skills & Technologies
A comprehensive toolkit for building modern, scalable applications
Programming
Frontend
Backend
Database
Cloud & DevOps
Tools
AI/ML Stack
MedCalyx & Document.ai
Two end-to-end builds: clinical CXR AI with interpretability, and a Firebase-secured RAG assistant over your own files — both full-stack, both shipping real user flows.
MedCalyx
AI lung disease detection & data annotation
Weakly supervised chest X-ray pipeline: classify, explain with Grad-CAM, derive pseudo boxes, and persist predictions for annotation-style workflows — Next.js, FastAPI core API, and a dedicated inference service.
Document.ai
Smart knowledge assistant (RAG MVP)
Sign in with Firebase, upload documents, and ask questions — answers are grounded in retrieved chunks with citations in the UI. FastAPI + PostgreSQL for records; Pinecone + OpenAI for embed, index, and generation.
SentinelOS
Autonomous AI cybersecurity operations platform
Multi-agent SOC assistant wiring LLMs, LangGraph orchestration, Pinecone memory, and async infra to automate log analysis, threat research, correlation, prioritization, and reporting — beyond stateless chatbots.
🛡️SOC automation scope
- ▸SIEM / firewall / auth log intake
- ▸Alert triage & prioritization
- ▸Threat hunting & correlation
- ▸Remediation & executive reporting
- ▸Human-in-the-loop approvals
🤖Core AI agents
- ▸Log analysis & anomaly detection
- ▸Threat intelligence (CVEs, IOCs)
- ▸Event correlation & attack chains
- ▸Risk scoring & report generation
- ▸Organizational memory & retrieval
🔀Orchestration layer
- ▸LangGraph-style workflows
- ▸Multi-agent planning & delegation
- ▸Reflection & multi-step reasoning
- ▸Async pipelines & retries
- ▸Workflow state & observability
🧠Memory & retrieval
- ▸Pinecone vector store
- ▸Embedding pipelines
- ▸Semantic retrieval & augmentation
- ▸Historical incident similarity
- ▸Long-term SOC context
⚙️Backend & queues
- ▸FastAPI + AsyncIO APIs
- ▸PostgreSQL persistence
- ▸Redis & Celery / RabbitMQ
- ▸Session & task routing
- ▸WebSocket updates
📡Frontend & monitoring
- ▸Next.js · TypeScript · Tailwind · shadcn/ui
- ▸Incident dashboard & approvals
- ▸LangSmith traces
- ▸OpenTelemetry & structured logs
Why SentinelOS
Targets alert fatigue and manual SOC loops with persistent organizational memory, vector-backed retrieval, and autonomous workflows — aligning production AI engineering with real security operations scenarios.
Agents
Multi-agent SOC
Memory
Pinecone + RAG
Orchestration
LangGraph-tier
Keywords: AI agents · SOC automation · Pinecone · LangGraph · FastAPI · threat intelligence · persistent memory · observability (LangSmith / OpenTelemetry)
Projects
Production-ready applications across healthcare, analytics, and cloud infrastructure
Healthcare Workflow System
Real-Time Validation Platform
ISMO BioPhotonics Pvt. Ltd.
Production-grade witness and tracking system for clinical workflows with QR/RFID integration, real-time validation, and event-driven architecture.
Lab Monitoring System
Environmental Monitoring Platform
ISMO BioPhotonics Pvt. Ltd.
Real-time lab monitoring with background alerts, historical visualization, PDF reports, and multi-branch role-based access control.
Marketing Tracker
Team Activity Management
Litvik Software Labs
Full-stack system for daily activity submission, task tracking, and performance dashboards with automated reporting.
Concrete Calculator
Domain-Specific Web App
Litvik Software Labs
Business-focused calculation tool with validated logic, intuitive UI, and error prevention safeguards.
Power BI Dashboard
Client Analytics Platform
Trianz
Client-facing dashboard with API-driven ETL pipelines, data modeling, and stakeholder-aligned visualizations.
E-Commerce on AWS
Cloud Deployment Project
SmartInternz
AWS-hosted e-commerce interface with EC2 provisioning, security configuration, and production-like deployment.
Experience
Building production systems across healthcare, analytics, and cloud infrastructure
Software Engineer Intern
ISMO BioPhotonics Pvt. Ltd.
Built production-grade features for clinical workflow validation and environmental monitoring systems across mobile, web, and backend with clean architecture.
- ✓Shipped MVP to production market
- ✓Built monitoring system with Android 14/15 compatibility
- ✓Designed layered architecture with event-driven streams
SDE Intern
Litvik Software Labs
Developed domain-specific web applications translating business requirements into clean, reliable interfaces with direct CEO/Director collaboration.
- ✓Built Marketing Tracker reducing manual effort through automation
- ✓Delivered Concrete Calculator with validated business logic
- ✓Earned strong recommendations from leadership
Data Analyst Intern
Trianz
Built client-facing Power BI dashboards with API-driven ETL pipelines, collaborating across security and data analysis teams.
- ✓Delivered effective dashboards supporting client projects
- ✓Implemented API → JSON → ETL → BI visualization workflows
- ✓Received internship extension offer
Cloud Intern
SmartInternz
Team-based AWS deployment project focusing on infrastructure setup, EC2 provisioning, and cloud-first workflows.
- ✓Deployed AWS-hosted e-commerce interface
- ✓Configured security groups and instance management
- ✓Shifted to cloud-first deployment practices
Certifications
Industry-recognized credentials validating expertise in cloud, data, and modern technologies
