Aspiring Data Scientist | Machine Learning Engineer | AI & Data Enthusiast | Data-Driven Problem Solver | Building Smarter Systems with AI

I’m a Computer Science & Engineering student at Sir M Visvesvaraya Institute of Technology (CGPA 9.1/10), driven by curiosity and innovation.
I love transforming data into meaningful insights and developing intelligent systems using AI and Machine Learning.
I’m currently exploring Agentic AI, Fine-Tuning LLMs, AI Agents, LangChain, and LangGraph to bridge research with real-world applications.
My focus lies in Data Science, Machine Learning, NLP, Neural Networks, LLMs, RAG (Retrieval-Augmented Generation), and Fine-Tuning, leveraging data to create impactful real-world solutions.
I believe in combining EDA, Statistics, and Model Optimization to drive accuracy, explainability, and performance in AI systems.

Languages

Frameworks & Libraries

Developer Tools

• 🧩 RAG (Retrieval-Augmented Generation) — Integrating LLMs with vector databases for context-enriched responses
• 🧠 LLMs (Large Language Models) — Understanding and fine-tuning models for domain-specific applications
• 💬 NLP & Text Processing — Tokenization, stemming, stop-word removal, and text classification
• 🔍 Fine-Tuning & Model Optimization — Adapting pre-trained models using domain-specific datasets
• 📊 EDA & Feature Engineering — Extracting insights through visualization, outlier detection, and correlation analysis
• 📈 Statistical Analysis — Applying probability, distributions, and hypothesis testing for model validation
• 🧮 Machine Learning — Regression, Classification, Clustering, and Model Evaluation
• 🧰 ML Ops & Pipelines — Using Joblib for model serialization and Flask for backend integration

• 📚 Data Structures — Arrays, Strings, Linked Lists, Stacks, Queues, Trees, Graphs, Heaps, HashMaps
• ⚙️ Algorithms — Sorting, Searching, Recursion, Greedy, Divide & Conquer, Dynamic Programming,
• 🧠 Object-Oriented Programming (OOP) — Encapsulation, Inheritance, Polymorphism, Abstraction
• 🧮 Complexity Analysis — Time & Space Complexity, Big-O Notation, Optimization Techniques
• 🧰 Coding Platforms — LeetCode, HackerRank, GeeksforGeeks

🟢 EcoBot – AQI-Based Navigation System
AI-powered assistant recommending the least polluted route using real-time AQI data.
Integrates Google Maps API, Flask, and LLMs to suggest optimal transport modes and eco-rewards.
🔗 GitHub Repo

🟠 Ola Bike Ride Demand Forecasting
Regression-based ML model (LightGBM) achieving 93%+ accuracy for ride demand prediction.
Deployed via Flask with Google Calendar & OpenWeather APIs for context-aware forecasts.
🔗 GitHub Repo

🟣 VAKIL (Work in Progress)
Virtual Assistant For Knowledge In Indian Law - An LLM + RAG + GNN powered legal assistant simplifying Indian law and Making Legal Knowledge Accessible to All.

• 🥇 5-Day Gen AI Intensive Course – Kaggle & Google
• 🎓 Artificial Intelligence Intern – Skill Intern Pvt Ltd
• 💬 DSA Mentor – CSOC 2024, TechHub Community
• 🧩 Active participant in hackathons and AI innovation initiatives

📧 Email: [email protected]
🔗 LinkedIn: linkedin.com/in/manjunath-suresh-82a41b261
💻 GitHub: github.com/Code10x-letscodewithManju

⭐ “Continuous learning fuels continuous improvement — and I code to create impact.”