Resume
Intern + Full Time
Crest Data Systems
Ahmedabad
Software Engineer
-
Duration: 2.6 Years
-
Integrated ThreatConnect with Netskope Cloud Exchange, enabling secure data exchange.
-
Built RESTful APIs and backend systems for Netskope Cloud Exchange using FastAPI, MongoDB, RabbitMQ,
Celery, and Python. -
Contributed to frontend development using ReactJS, addressing minor bugs and implementing basic features.
-
Developed Machine learning models to calculate user and application Risk scores using Netskope tenant
data. -
Implemented a Back-pressure mechanism for stable data ingestion during high loads, improving system
reliability and reducing downtime. -
Implemented a Compression mechanism that optimized memory utilization for enhanced product performance.
-
Built a Conversational AI using Retrieval-Augmented Generation (RAG) to assist customers with minor bug
resolution and product knowledge acquisition.
2021 - 2024
2021 - 2021
Intern
Pivotchain Solutions
Pune
Data Scientist
-
Duration: 2 Month
-
Played a key role in the Threat Detection Project for a Kotak Mahindra Bank, utilizing machine learning to
strengthen cybersecurity infrastructure. -
Trained YoLo models for Object Detection and Image Segmentation, contributing to enhanced anomaly
detection accuracy. -
Developed and deployed Flask-based API for seamless integration and utilization of trained models.
-
Built a computer vision model using Convolutional Neural Networks (CNNs) to automatically identify whether people are wearing helmets in images or videos.
2021 - 2021
Intern
KrsikX India LLP
Remote
Team Lead - (AI/ML)
-
Duration: 1 Month
-
Led a team of machine learning interns, assigning tasks, providing guidance, and ensuring project progress.
-
Developed a Crop Price Prediction model utilizing data analysis and machine learning techniques,
improving market forecasting accuracy by 12%. -
Contributed to the development of weed detection models for real-time plant monitoring using live camera feeds.
-
Managed and improved plant disease detection projects, enhancing model accuracy for precise disease identification.
2021 - 2021
Intern
Suven Consultants and Technology Pvt. Ltd
Remote
Data Analyst
-
Duration: 2 Weeks ( 70 Hours )
-
Worked on two projects:
-
Analyzed meteorological data by cleaning, processing, and visualizing the data using statistical analysis and creating visualizations to identify trends and patterns. Developed predictive models using machine learning algorithms to forecast future weather conditions.
-
Recognized handwritten digits using Scikit-learn. Preprocessed and prepared data, explored and selected appropriate machine learning models, trained and tested models, and evaluated their performance.
ACHIEVEMENTS
-
IT Startup Project Competition - 3rd Rank
-
Infosys Certified Software Developer
-
Segmind Grand AI Challange 2021 - 53 rank
-
Hackerrank Python Programming - 5 ⭐
-
Hackerrank Problem Solving - 5 ⭐
-
Leetcode Problem Solving - 2 ⭐
CERTIFICATIONS
Coursera
-
Natural Language Processing with Tensorflow
-
Introduction to Data Science with Python
-
Machine Learning With Google Cloud For Business Professionals
Cognitiveclass.AI
-
Deep Learning Fundamentals
-
Introduction to Machine Learning With Python
Data Camp
-
Deep Learning With Python ( Skill Track )
-
Natural Language Processing ( Skill Track )
-
Deep learning for Natural Language Processing ( Skill Track )
-
Image Processing With Python ( Skill Track )
SKILLS
-
Programming Languages: Python.
-
Libraries & Tools: Keras, PyTorch, Sklearn, Pandas, Numpy, OpenCV, Docker, Tensorflow, Langchain, FastAPI, Django, Flask, NLTK, Streamlit, ReactJS.
-
Databasae & Version Control: MongoDB, SQL, Git, GitHub, Bitbucket.
-
AI Architectures: Neural Networks, CNN, RNN, LSTM, YOLO, Transformers.
-
Generative AI: Large Language Models, GAN, Autoencoders, RAG, Prompt Engineering, Vector Database.
-
Others: Natural Language Processing, Computer Vision, Time Series Analysis.