Hi, I'm Vinod Hatti! π
π Recent "B.E. in Information Science & Engineering" graduate on a focused mission to launch my career in 'AI/ML, GenAI, and Python Engineering'.
This repository documents my intensive 1-month post-graduation learning journey, showcasing my dedication to becoming job-ready for:
- π€ AI Engineer
- π AI/ML Engineer
- π οΈ AI Product Engineer
- β¨ Gen AI Engineer
- π Python Engineer
- π» Python + DSA roles
π’ OPEN TO WORK | Immediate Joiner | Ready to Relocate
Core Python Mastery & Fundamentals
- β Python fundamentals: variables, data types, operators
- β Control structures: conditionals, loops, exception handling
- β Functions: lambda, decorators, generators, closures
- β OOP concepts: classes, inheritance, polymorphism, encapsulation
- β File I/O, modules, packages, virtual environments
- β Python best practices: PEP 8, type hints, documentation
Interview Preparation & Problem Solving
- π’ Arrays, Linked Lists, Stacks, Queues
- π³ Trees: Binary Trees, BST, AVL, Heaps
- π Graphs: BFS, DFS, Dijkstra's, topological sort
- π― Sorting & Searching algorithms
- β‘ Dynamic Programming patterns
- π Recursion & Backtracking
- π Time & Space complexity analysis (Big O)
- Solved 50+ LeetCode problems across Easy, Medium difficulty
Machine Learning Core Concepts
- π NumPy & Pandas: Data manipulation, analysis, preprocessing
- π Data Visualization: Matplotlib, Seaborn for insights
- π€ Scikit-learn: Supervised/Unsupervised Learning, Model evaluation
- π§ Statistics for ML: Probability, distributions, hypothesis testing
- π Feature Engineering: Selection, scaling, encoding
- π Model Optimization: Hyperparameter tuning, regularization
Cutting-Edge AI Technologies
- π€ LLM Fundamentals: Transformers, attention mechanisms, embeddings
- π LangChain: Building LLM applications, chains, agents
- π¦ RAG Architecture: Retrieval-Augmented Generation
- π§© Prompt Engineering: Crafting effective prompts
- π API Integration: OpenAI, Anthropic, Gemini APIs
- π§ Vector Databases: Pinecone, ChromaDB for semantic search
- ποΈ AI Agents: Building autonomous agents with memory and tools
Built intelligent agent using LangChain with persistent memory, integrated multiple tools (web search, calculator, file operations), implemented RAG for domain-specific knowledge.
- Tech Stack: Python, LangChain, OpenAI API, ChromaDB, FastAPI
End-to-end ML pipeline with data ingestion, training, deployment, REST API serving.
- Tech Stack: Python, Scikit-learn, FastAPI, Docker, MLflow
Automated data extraction, cleaning, analysis workflows with interactive dashboards.
- Tech Stack: Python, Pandas, NumPy, Plotly, Apache Airflow
Document Q&A system using RAG architecture with semantic search.
- Tech Stack: Python, LangChain, OpenAI, Pinecone, Streamlit
Personal DSA progress tracker with problem categorization by patterns.
- Tech Stack: Python, Streamlit, Git
Applied AI/Agent Engineering Project
An intelligent affiliate marketing platform leveraging AI agents and machine learning for automation.
My Technical Contributions:
- π€ AI Agent Development for product research and content creation
- π§ ML Recommendations engine for personalized suggestions
- π Data Pipeline for real-time data processing
- π Analytics Engine with predictive models
- π API Integration with async/await patterns
Tech Stack: Python, LangChain, FastAPI, PostgreSQL, Redis, Pandas, Scikit-learn
- π Python: Advanced proficiency with modern best practices
- π€ AI/ML: Hands-on experience with Scikit-learn, TensorFlow basics
- β¨ GenAI: LangChain, RAG, prompt engineering, AI agents
- πΎ Data: Pandas, NumPy, data preprocessing, ETL pipelines
- π§© DSA: Strong problem-solving, algorithm optimization
- π§ Tools: Git, Docker, FastAPI, REST APIs, SQL, Vector DBs
- π Rapid learner with proven self-teaching ability
- π― Goal-oriented and deadline-driven
- π€ Strong communication and documentation skills
- π‘ Creative problem solver with engineering mindset
- β Fresh perspective with cutting-edge knowledge
- β No notice period - Immediate joiner
- β Open to relocation anywhere
- β Hungry to learn and contribute
- β Long-term commitment to growth
- π§ Email: [email protected]
- πΌ LinkedIn: linkedin.com/in/vinodhatti
- π GitHub: github.com/VinodHatti-Elepcode
- π Portfolio: Coming Soon
- AI Engineer roles building intelligent systems
- AI/ML Engineer positions working on predictive models
- Gen AI Engineer opportunities with LLMs and agents
- Python Engineer roles focusing on backend/data
- AI Product Engineer positions bridging tech and product
- Entry-level to Junior positions with growth potential
- π¨ Building production-ready AI applications
- π Mastering data structures and algorithms
- π Contributing to open-source AI projects
- πΌ Networking with AI/ML professionals
- π Optimizing GitHub and professional profiles
#OpenToWork #ImmediateJoiner #AIEngineer #MLEngineer #GenAI #PythonEngineer #LangChain #MachineLearning #DataScience #DSA #FreshGraduate
"Learning in public, building with purpose, ready to contribute." π


