BE Graduate · CSD Specialization

SRIKARASMIT

Building intelligent systems at the intersection of Machine Learning, Natural Language Processing, and Computer Vision. Turning raw data into decisions that matter.

~/dev/portfolio — python3
python3 profile.py
# Loading developer profile...
 
name = "Srikarasmit"
degree = "BE, CSD Specialization"
focus = ["ML", "NLP", "CV"]
experience = "Building AI solutions"
 
# Initializing modules...
All systems operational ✓
4+
AI / ML Projects
3
AI Domains
BE
CSD Specialization
Models to Train
🧑‍💻

Turning Data Into
Intelligence

I'm a Bachelor of Engineering graduate with a specialization in Computer Science & Design, passionate about building machine learning systems that solve real-world problems.

My work spans Natural Language Processing, Computer Vision, LLM-powered chatbots, and predictive modelling — each project pushing me to explore new techniques and frameworks.

I thrive at the intersection of research and engineering, translating complex models into reliable, production-ready applications.

Python & PyTorch
TensorFlow / Keras
Hugging Face
Scikit-learn
OpenCV
LangChain / LLMs
SQL / NoSQL
Docker / Git

Featured Projects

A collection of ML, NLP, and Computer Vision projects built during my academic and self-driven research journey.

PROJECT_01
💬
NLP Sentiment BERT

Sentiment Analysis Engine

Fine-tuned BERT-based model for multi-class sentiment classification on social media data. Achieves high accuracy across positive, negative, and neutral categories using transformer architecture.

PROJECT_02
👁️
Computer Vision CNN YOLOv8

Object Detection System

Real-time object detection pipeline using YOLOv8, capable of identifying and classifying multiple objects in images and video streams with bounding box precision.

PROJECT_03
🤖
LLM RAG LangChain

LLM-Powered Chatbot

Intelligent Q&A chatbot built using Retrieval-Augmented Generation (RAG) with LangChain and a vector database backend for context-aware, document-grounded responses.

PROJECT_04
📊
Predictive ML XGBoost Data Science

Predictive Analytics Model

End-to-end data science pipeline featuring EDA, feature engineering, and an XGBoost ensemble model for regression/classification tasks with explainability via SHAP values.

My Tech Stack

Tools and frameworks I work with across the ML / AI development lifecycle.

// ML & Deep Learning

  • PyTorch
    90%
  • TensorFlow
    80%
  • Scikit-learn
    88%
  • Hugging Face
    82%

// NLP & LLMs

  • Transformers
    85%
  • LangChain
    78%
  • spaCy / NLTK
    83%
  • OpenAI API
    75%

// Dev & Data

  • Python
    95%
  • Pandas / NumPy
    90%
  • OpenCV
    77%
  • Docker / Git
    72%

Let's Connect

Open to internship opportunities, collaborative projects, and research discussions in AI / ML. Feel free to reach out via any channel below.