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Likith

Hi, I'm Likith Naidu

AI-ML-IIT-PATNA Protocol Specialist. I am a **High-Proficiency Full-Stack Developer** focused on engineering robust, data-centric solutions. I leverage **Python**, **Java SE**, and advanced **SQL/MongoDB** modeling to solve complex problems, resulting in **quantifiable improvements in system efficiency** and **data processing speed**.

:: WORK HISTORY ::

"My academic trajectory, anchored by the demanding B.Tech (CSE-AI) program at PBR VITS College and enriched by supplementary coursework in Artificial Intelligence and Data Science from distinguished institutions such as IIT Patna, establishes a solid foundation for professional practice. With an anticipated graduation in 2028, I am now actively soliciting freelance commissions where I can deploy my proven capabilities in implementing sophisticated machine learning models, crafting insightful data visualizations, and executing advanced programming solutions. I am dedicated to transcending theoretical knowledge by providing tangible, results-oriented deliverables that not only meet but exceed contemporary industry standards, thereby rapidly expanding my high-value professional credentials."

SIH HACKATHON 2025

  • 💡 Project Summary: Prometheus - AI Powered Personalized Path Generator addressing the Smart Education theme with a Software solution.
  • Proposed Solution: A career guidance dashboard utilizing real-time mapping with labour market intelligence to generate personalized learning paths for learners, trainers, and policymakers.
  • Core Idea: A comprehensive career guidance dashboard with AI-powered clarity, trust through transparency, and serving as a strategic planner and regulatory marker.
  • Technical Approach: Frontend - React, TypeScript, ShadCN UI, Radix UI, Tailwind CSS; Backend/Hosting - Next.js, Firebase app; Database - Firebase Firestore (No SQL); AI/ML - Genkit utilizing Gemini 1.5 Pro and Flash for NLP.
  • Methodology: Project Setup → UI Development → Backend setup → Database Integration → AI Integration → Testing & Deployment.
  • Feasibility: High, due to AI Integration readiness, existing infrastructure, and scalable architecture.
  • Viability: High, with low-cost deployment on clouds, strong scalability, and economically/financially viable.
  • Impact: Personalized learning, AI-Guided Career Navigation, Smart Learning Ecosystems, High-Quality Learning.
  • Benefits: Alignment with Industry Relevant Skills, Drives Career Growth, Smart Study Planners, Maximizes Efficiency.
  • Designed and implemented a normalized **MongoDB NoSQL database** for donor tracking and reporting.
  • Created **aggregation pipelines** that enabled real-time reporting capabilities, improving data retrieval speed by **over 50%**.
  • Ensured data integrity and security through robust schema design principles.

:: DATA LOGS ::

:: PROJECT PROGRAMS ::

:: AI/ML PROTOCOLS (IIT-Patna) ::

My training at IIT-Patna established a robust theoretical and practical foundation in core Machine Learning principles, enabling me to not just use models, but understand and optimize their underlying mathematics.

Core Concepts

  • Supervised vs. Unsupervised Learning
  • Model Evaluation (Bias-Variance Tradeoff)
  • Feature Engineering and Selection

Algorithms Focus

  • Linear & Logistic Regression
  • Decision Trees and Random Forests
  • K-Nearest Neighbors (K-NN) and K-Means Clustering

Applied Tools

  • Python Libraries (**Scikit-learn, NumPy, Pandas**)
  • Data Visualization (Matplotlib, Seaborn)
  • Basic Neural Network Architectures

:: SKILL PROTOCOLS ::

Python (OOP, Data Processing) Java SE (Core Development) SQL (Advanced Queries & Optimization) MongoDB (Schema Design) HTML5 / CSS3 / Tailwind CSS JavaScript / DOM Manipulation AI/ML Fundamentals (IIT-Patna) Data Structures & Algorithms (DSA) Git / GitHub (Version Control) Operating Systems (Windows/Linux) Web Scraping

Protocol Efficacy Report

Domain Cluster Key Protocols (Tools/Concepts) Proficiency Core
Core Programming **Python** (OOP, Libraries like Pandas/Numpy), **Java SE** (Collections, Threads, Swing/AWT), C++ Basics, Exception Handling. High Proficiency / Implementation
Data & DBMS **SQL** (Stored Procedures, Joins, Indexing), **MongoDB** (Indexing, Aggregation Framework, JSON/BSON Modeling), Relational Algebra. Database Modeling & Optimization
Web/Front-end HTML5 Semantics, CSS3 (Flexbox/Grid), **Tailwind CSS**, Basic **JavaScript** for interactive DOM manipulation and event handling. Design & Responsive Layouts
Advanced Concepts DSA (Arrays, Linked Lists, Trees, Sorting/Searching), **AI/ML Theory** (Model Training Basics), **Git/GitHub** (Branching, Merging). Continuous Learning & Application

READY TO COLLABORATE

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