P Gokul Sree Chandra @GokulAIx

⚡ ML/NLP Engineer in Progress

The Mind Behind The Model.

My Socials

About Me

Hello, I’m Gokul Sree Chandra, an enthusiastic learner and practitioner in Natural Language Processing and Machine Learning. I’m currently pursuing a B.Tech in Computer Science Engineering at GITAM, with a deep interest in building language-aware AI systems.

My journey began with a curiosity for how machines understand human language, which led me to explore NLP techniques like text classification, Transformers, and Retrieval-Augmented Generation (RAG). I’ve worked with libraries such as PyTorch, Scikit-learn, and Hugging Face, and continue to build projects that strengthen my skills.

From participating in hackathons to collaborating with peers, I’m committed to becoming a skilled NLP engineer, one who can turn unstructured language into intelligent action.

Let’s connect if you’re working on AI/NLP projects or exploring innovative ideas in this space.

My Skills

Programming Languages

Python

SQL

Joins

Subqueries

Window Functions

Indexing

Query Optimization

GenAI and LLMs

LangChain

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Hugging Face

Transformers

LLM APIs (Google Gemini, Groq, OpenAI)

Flask-based AI Deployment

Deep Learning

Transformer Architecture

Encoder-Decoder Models

Fine-Tuning

Neural Network Architectures

Activation Functions

Loss Functions

Optimization (PyTorch)

Machine Learning

Supervised Learning (Regression, Classification)

Regularization (L1 & L2)

Feature Engineering

Model Evaluation (Cross-validation, Accuracy, Precision, Recall, F1)

Data Preprocessing (Normalization, Standardization, Missing Data Handling)

Probability & Statistics

Natural Language Processing

Sentence Transformers (Embedding Generation)

Tokenization

TF-IDF

Bag of Words

Stemming

Lemmatization

Text Classification

Summarization

Libraries/Frameworks

PyTorch

Scikit-learn

Numpy

Pandas (Data Cleaning)

NLTK

Sentence Transformers

Flask

My Projects

Blaze - AI Web Page Summarizer and ChatBot - Chrome Extension

A multi-functional AI browser extension providing instant summarization and enabling users to ask in-depth questions about any webpage’s content. This tool leverages a custom-built RAG pipeline and a Python/Flask API to deliver precise, AI-driven insights directly in the browser. Implemented Map-Reduce for efficient Web-Page summarization, and ChromaDB for Vector Store.

Tech Used:

Python

LangChain

Google Gemini

Hugging Face

ChromaDB

JavaScript

Demo Video on Linkedin GitHub

VidQuery – AI YouTube Video Assistant

Engineered a RAG-powered app with LangChain, ChromaDB, and FastAPI to process video transcripts and deliver context-aware answers. Allows users to instantly get answers from a YouTube video, and includes an interactive Streamlit UI.

Tech Used:

LangChain

ChromaDB

FastAPI

Streamlit

Gemini Flash

RAG

Live Demo

GitHub Linkedin Demo

Sentiment Analysis on IMDB Dataset

Used the pre-trained Sentence-Transformer (all-MiniLM-L6-v2) to generate sentence embeddings and built a fully connected PyTorch neural network to classify reviews as positive or negative. Processed 50,000 IMDB reviews and achieved 80.24% test accuracy, demonstrating transfer learning’s effectiveness in sentiment analysis.

Tech Used:

Python

PyTorch

sentence-transformers

Neural Networks

Live Demo GitHub

SkillCheck – AI Skill Evaluator

Developed SkillCheck, a Flask-based web application utilizing Groq API to evaluate user skills and improving learning outcomes. Integrated a Large Language Model (LLM) via Groq API, providing personalized AI-driven feedback, enabling learners to optimize their study approach 100% of the time. Used Flask for backend, Pandas for data preprocessing, Groq API for LLM integration.

Tech Used:

Flask

Groq API

LLM

Python

GitHub

Professional Experience

Head Of Operations (Technical Internship, Full Time)

Young Compete (Remote, India) | July 2024 – January 2025

Developed 3+ tech projects, including Prof Connect, enabling streamlined networking for 1,500+ students and teachers.
Automated data scraping from 5 sources for the off-campus placements page, utilizing APIs, and improved access rate by 30%.
Led a team to deliver technical solutions and organized events, focusing on user engagement and community building.

Achievements & Activities

Organized 6+ ”GAAC-MasterClasses” for Gitam Aero Astro Club (affiliated with MIT, Boston), achieving 60+ attendees per session, focusing on technical education and aerospace topics.
Competed in national-level events like IIT Kanpur’s Techkriti (Maneuver Bot, Astro Quiz) and ISRO’s Bharatiya Antariksh Hackathon (Lunar Crater Locator), among 50+ teams.
Secured 2 nd place in the hackathon CODEX (for my SkillCheck Project) conducted by Young Compete.
Member of Art of Living’s YES+ Group since 1st year of college.

Certifications

Fine-Tuning Language Models with Hugging Face - Hugging Face
Introduction To Fine-Tuning - The LLM Course - Hugging Face
Introduction to Transformer-Based Natural Language Processing - Nvidia
Anthropic - AI Fluency : Frameworks & Foundations - Anthropic
IBM – Databases and SQL for Data Science - IBM
Google AI Essentials – Coursera - Google
AI for Everyone – deeplearning.ai - deeplearning.ai

My Resume

Interested in learning more about my qualifications? Download my resume for a detailed overview.

Download Resume

Get In Touch

Have a question, a project idea, or just want to connect? Feel free to reach out!