• Languages: Python, SQL, HTML, CSS, JavaScript
• Tools & Technologies: Django, Flask, React, Tensorflow, Pytorch, LangChain, PowerBI, Airflow, Spark, Git, Docker, AWS
• Problem-Solving: LeetCode, Codeforces, AtCoder

LLMs, Langchain, FastAPI, React, Vector & Graph Databases, Docker

• Working on a Generative AI web app for automated exam grading using NLP, LLMs, and advanced RAG techniques (Graph RAG, Query Expansion, Merged Retrieval, etc.)
• Developing a full-stack system with Django (backend) and React (frontend), for seamless AI-driven grading workflows.
• Leading a 4-member team, managing the codebase, project execution, and cross-functional coordination to deliver a high-impact AI solution.

Python, LLMs, LangChain, RAG, Django

• Developed a RAG-powered contract review system using LangChain, and enabling interactive contract Q&A with accurate retrieval and generation.
• Focused on evaluating and refining RAG pipelines, enhancing response quality, and improving contract analysis efficiency.

Tensorflow, OpenCV, Transfer Learning, VGG16, Streamlit

• Developed a CNN-based landmark classification model using a subset of Google Landmarks Dataset to predict image locations for social media tagging.
• Optimized custom and transfer learning models, developing a user-friendly prediction interface for real-world applications.

TensorFlow, Keras, NLP, RNN, Transformers

• Worked on Machine Translation using RNNs, GRUs, and Encoder-Decoder architectures.
• Implemented word embeddings, self-attention mechanisms, and sequence-to-sequence models.

Tensorflow, OpenCV, CNN, Flask

• Developed a deep learning model using Convolutional Neural Networks (CNNs) to detect brain tumors from MRI images.
• Deployed the model via a Flask web application, providing an accessible interface for medical image analysis.

Data Analysis, Business Intelligence, DAX

• Created Power BI dashboards for data analysis and reporting of different problems.
• Worked on sales trends, customer churn, and road accident analysis, etc. to improve decision-making.

APIs, Python, Airflow, ETL, AWS

• Built an AWS-based data pipeline for processing Spotify data, using AWS Glue for ETL and storing optimized Parquet files in S3.
• Enabled fast querying with Amazon Athena and created Power BI visualizations for data-driven insights.

APIs, PostgreSQL, Python, Airflow, Spark, ETL, AWS

• Developed a data engineering workspace for a music streaming service, implementing data pipelines using PostgreSQL, Apache Cassandra, AWS Redshift, Apache Spark, and Apache Airflow.
• Designed and optimized ETL processes to handle large-scale user activity data, enabling efficient analytics and reporting.

Python, Flask, SQL, REST APIs, React

• Designed and developed a comprehensive system streamlining hospital operations and enhancing patient care.
• Implemented efficient management modules for doctors, patients, rooms, beds and other hospital resources reducing administrative burdens and improving resource allocation efficiently.

Python, Django, SQL, REST APIs, React

• Developed a full-stack eCommerce web app using Django and React, featuring user authentication, cart management, payments, and feedback functionality.
• Implemented admin controls for product management (add, edit, delete) and streamlined order processing for a fully functional shopping experience.

Python, Django, SQL, REST APIs, React

• Created a full-stack food business application, centralizing operations and elevating customer experiences.
• Implemented innovative features for efficient management, streamlining bookings, menus, pricing and delivery services, boosting sales and reducing operational costs.