Building intelligent systems where machine learning meets real products — from model training to production deployment.
AI systems, not isolated demos.
The work spans model behavior, inference boundaries, product interfaces and the operational signals that keep systems understandable.
Multi-agent AI
LangGraph orchestration, tool use, research and synthesis.
Computer vision
PyTorch inference, EfficientNet-B0 and Grad-CAM explanations.
Real-time systems
Streaming dashboards, provider health and consensus signals.
ML applications
FastAPI services and Next.js interfaces that make models useful.
HOW I BUILD
A production-minded loop: start with a question, make the model inspectable, expose it through a useful interface, then measure what happens in the real world.
RESEARCH
Questions, datasets and evaluation protocols
MODEL
PyTorch, scikit-learn and task-specific inference
INFERENCE API
FastAPI services, validation and safe boundaries
APPLICATION
Next.js products with clear operator workflows
DEPLOYMENT
Hugging Face Spaces, Docker and cloud-ready services
OBSERVABILITY
Health panels, telemetry and drift-aware feedback
WORK WITH WEIGHT
The strongest projects are treated as systems with a user, an operator, a model boundary and a reason to exist.
Plant Disease Detection
Production-style leaf disease classifier served through a lightweight Hugging Face Spaces FastAPI deployment with multipart uploads, EfficientNet-B0 inference, top-5 confidence analysis, Grad-CAM explanations, webcam capture, and local analytics.
OPEN SYSTEM →02 / Multi-Agent AI & VisionAI Financial Analyst
Enterprise-grade financial intelligence platform orchestrated by 5 specialized AI agents (Researcher, Quant, Auditor, Competitor, Editor) with PyTorch Neural Chart Vision, live portfolio rebalancing, social sentiment feeds, and XAI explainability.
OPEN SYSTEM →03 / Algorithmic Trading & AIAI Trading CoPilot
Build, Backtest, Monitor and Improve Trading Strategies using natural language, autonomous validation, market context analysis, event-driven backtesting, paper trading, and real-time drift detection.
OPEN SYSTEM →04 / Speech AIAI Interview Analyzer
Browser-native interview practice module with live speech capture, transcript scoring, answer feedback, and interactive coaching UI integrated directly into the ML Lab experience.
OPEN SYSTEM →THE TOOLCHAIN
A practical stack for moving from experiments to interfaces, services and deployable workflows.
Claims backed by the codebase.
The portfolio is also the working repository: nine project experiences, a large Python financial-analysis system, a shared ML backend and a component-rich Next.js frontend.
MULTI-AGENT
FINANCIAL AI
Enterprise-grade digital workforce. An orchestrated pipeline of 3 specialized AI agents executing research, quantitative analysis, and editorial synthesis to generate Bloomberg-style investment briefs.
3
AI Agents
2
Data Sources
~8s
Inference
BUILT ON
CURIOSITY
I'm an ML & AI developer who builds end-to-end intelligent systems — from training models to shipping them into real products. I spent 4 years tutoring 50+ students during my B.Tech, which taught me how to break down complex problems clearly. Now I apply that same thinking to machine learning, backend systems, and whatever I'm obsessed with building next.
The tools and frameworks I use to bring ideas to life.
Frontend
- React
- Next.js
- TypeScript
- Framer Motion
- Three.js
Backend
- Node.js
- Python
- FastAPI
- PostgreSQL
- Redis
Cloud & DevOps
- AWS
- Docker
- Kubernetes
- CI/CD
- Terraform
ML & AI
- PyTorch
- TensorFlow
- LangChain
- OpenAI
- HuggingFace
Experience
Real roles mapped into the portfolio system: frontend delivery, data analysis, client collaboration, and applied AI/ML product work.
Frontend Developer
7 KINGS CODE · Full-time
Hyderabad, Telangana, India · Remote
Developed and delivered responsive, scalable frontend solutions using Next.js and Tailwind CSS, integrated with Sitecore to build modern component-driven user interfaces. Collaborated closely with client stakeholders to design and implement content-managed digital experiences, ensuring seamless UI/UX, high performance, and efficient project delivery across multiple web applications.
Data Science Intern
SIYARAA EVOLUTIONS · Internship
Hyderabad, Telangana, India
Completed a data science and data analytics internship focused on data preparation, exploratory analysis, analytical reporting, and practical machine learning foundations.
Academic Journey
Formal education laying the foundation for advanced machine learning, artificial intelligence, and software engineering.
Teegala Krishna Reddy Engineering College (TKREC)
Jan 2021 – Jun 2025Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning
Narayana Junior College - India
Jul 2019 – Mar 2021Intermediate, MPC (Mathematics, Physics, Chemistry)
PRODUCTION
SYSTEMS
A selection of deployed machine learning applications, dashboards, and scalable full-stack architectures.
CONTINUOUS
LEARNING
A collection of technical certifications and specialized training in machine learning, cloud architecture, and software engineering.
Machine Learning Statistical Foundations Professional Certificate
Wolfram Research
August 2025
AWS Certified AI Practitioner
Amazon Web Services (AWS)
July 2025
NSDC Certified Data Science Certificate
National Skill Development Corporation (NSDC)
December 2023
Machine Learning
Internshala
November 2023
Tableau
Internshala
October 2023
SQL
Internshala
October 2023
Excel
Internshala
October 2023
LET'S BUILD
SOMETHING
Have a project in mind? Let's talk. I'm always open to discussing new ideas and opportunities.