Rohit Surya A T
AI and Agentic Automation Engineer
Passionate about AI automation and solving real-world problems through innovative coding solutions. Currently pursuing B.Tech in AI & Data Science.
About Me
Driven by passion for innovation and continuous learning in AI and software development
Career Objective
Aspiring AI and Agentic Automation Engineer with a passion for AI automation, and solving real-world problems through innovative coding. I'm dedicated to leveraging cutting-edge technology to create impactful solutions.
Current Focus
- →AI Automation & Workflow Optimization
- →Machine Learning Applications
- →Full-Stack Development
Competitive Programming
- ✓160+ day streak on GeeksforGeeks
- ✓50+ day streak on LeetCode
- ✓Top 10 in Skillrack annual leaderboard
Technical Skills
Proficiency across programming languages, modern frameworks, and specialized domains
Featured Projects
Innovative projects showcasing expertise in Backend Development, Machine Learning, and Mobile Applications
Built an enterprise-grade Agentic AI platform that transforms raw CSV and Excel datasets into predictive business intelligence using natural language. Users simply upload their data and ask questions, while a network of specialized AI agents collaboratively analyze datasets, generate machine learning pipelines, execute code securely, recover from execution failures, and deliver explainable insights with interactive visualizations. Designed with a modular multi-agent architecture, DataOracle supports automated ML model generation, self-healing code execution, real-time streaming responses, persistent model inference, and intelligent routing across multiple LLM providers.
Key Features
- Multi-agent AI architecture with 20 specialized autonomous agents
- Natural language → Automated Machine Learning pipeline generation
- Secure local Python execution with intelligent self-healing retries
- Automated data profiling, feature engineering, model training, and evaluation
- Explainable AI insights with KPI summaries and interactive visualizations
- Multi-provider LLM routing with automatic fallback (OpenRouter, Gemini, Groq, OpenAI, Anthropic)
- Model persistence for future predictions on unseen datasets
- Real-time progress streaming using Server-Sent Events (SSE)
- 70+ modular AI skills dynamically loaded based on task requirements
- Enterprise MCP integrations including GitHub, Google Drive, Kaggle, Hugging Face, PostgreSQL, Browser Automation, and Filesystem
Technologies
Built an AI-powered automation engine where LLMs plan tasks while deterministic tools execute them safely. Features agentic AI planning, confidence-based decision-making, human-in-the-loop oversight, and full audit logging. Integrates OpenAI GPT-4o-mini and Gemini with fallback support for reliable operational workflows like invoice processing and document validation.
Key Features
- Agentic AI planning with LLM-generated execution plans
- Tool-based deterministic execution with retry logic
- Confidence scoring and risk assessment
- Human-in-the-loop safety for low-confidence decisions
- Dual LLM fallback (OpenAI ↔ Gemini)
- Full audit trail with structured logging
Technologies
Built a secure banking microservice featuring JWT authentication, customer onboarding, account handling, and transaction workflows (deposit/withdraw/transfer). Implemented idempotency keys, ACID-safe operations, Flyway migrations, global exception handling, and Dockerized deployment for production readiness.
Key Features
- JWT authentication & secure customer onboarding
- Account handling with transaction workflows
- Idempotency keys for reliable operations
- ACID-safe transactions with Flyway migrations
- Global exception handling
- Dockerized deployment for production
Technologies
Built a mobile application for crop recommendation using ML-based classification based on soil and environmental factors, optimized for on-device inference. The app helps farmers make data-driven decisions about crop selection.
Key Features
- ML-based crop classification algorithm
- Soil and environmental factor analysis
- On-device inference optimization
- Mobile-first design for accessibility
- Data-driven crop recommendations
Technologies
Gallery
Project showcases, hackathon achievements, and design mockups
YUGI - GNN Content Recommendation
Graph Neural Network-based content recommendation system
Experience
Professional internship and hands-on experience in AI automation and workflow development
Focus Areas
- Developing Enterprise AI solutions and Agentic Automation systems
- Research and implementation of advanced AI workflows
Key Achievements
- Built 50+ automated workflows using n8n and Make platforms
- Created sophisticated workflows for email parsing and processing with real-time automation
- Developed API integrations for seamless data flow across multiple platforms
- Implemented automated file operations and sophisticated data management systems
Technologies Used
Education
Pursuing studies in Artificial Intelligence and Data Science
Artificial Intelligence and Data Science
Academic Performance
Key Focus Areas
- ›Artificial Intelligence & Machine Learning
- ›Data Science & Advanced Analytics
- ›Agentic AI and Automation
Certifications
Professional certifications and achievements demonstrating continuous learning and expertise
NPTEL
2024
Achievements & Recognition
Recognition for innovation, excellence, and continuous contribution to the tech community
- Winner - Hackindia 2026 Spark 9
- Winner - TN Police Hackathon
- Winner - Blaze-A-Trial 2.0
- Finalist - HackIndia
- Finalist - Smartathon
- Winner - Multiple National Symposiums
- Top 3 in Department Leaderboard
- Current CGPA: 8.4
- Top 10 in Skillrack Annual Leaderboard
- Consistent Academic Performance
- 160+ Day Streak on GeeksforGeeks
- 50+ Day Streak on LeetCode
- Active on Multiple Coding Platforms
- Regular Problem Solving Practice
- Paper on OPS-AGENT – Failure-Aware Agentic Automation System (Awaiting Publication)
- Co-researcher for UZHAVAR - Crop Recommendation (In Progress)
- Research Focus on Graph Neural Networks
- AI Automation Research
Research Publications
Currently working on advancing research in Graph Neural Networks and Crop Recommendation applications
Get In Touch
I'm always open to new opportunities, collaborations, and creative ideas. Let's connect!
Feel free to reach out for collaborations, opportunities, or just to connect!
Check out my problem-solving skills across various platforms.
I'd love to hear from you. Send me a message and I'll respond as soon as possible.