Hi, I'm Snehit
Grad AI Researcher |
Data Engineer |
LLMs |
Deep Learning
Computer Vision |
Software Development |
Freelancer
Data Engineer and AI Researcher with 3+ years of experience. Expert in Python, SQL, and Spark for big data and ETL. Skilled in machine learning, NLP, and computer vision. Published researcher in Deep learning, Image processing. Got questions? slide into my LinkedIn DMs!
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My Latest Projects
WebRAG-mini
July 2024
Locally deployed RAG app that answers questions from diverse sources(documents, websites, or SQL databases). Utized dynamic control flow to select the best LLM for each query, leveraging LangChain, OpenAI embeddings, and FAISS vector stores for accurate, seamless responses.
Fine-tuned LLaMA2 7B for Idioms
August 2024
Fine-tuned LLaMA2 7B model on idioms datasets, employing quantization and parameter-efficient fine-tuning (PEFT) techniques to suggest contextually relevant idioms, enhancing communication naturalness and engagement.
Citrus E. coli FluoroNet
February 2024
An explainable neural network solution for detecting E. coli bacteria on citrus fruits. The proposed solution can identify contamination three days before visible signs appear, utilizing fluorescence imaging and deep learning techniques to ensure early intervention and food safety.
UniTrends: Analyzing US VISA Trends with Data Engineering
December 2023
Using Telegram API, Kafka, and AWS tools to analyze VISA group chats, refining YouTube content strategy and gained 10k subscribers through data-driven insights.
The Pothole Reporter App
June 2022
Flutter app to capture a pothole image and raise alert to authorities. The app uses AI and image processing to detect the pothole, GPS for location, Firebase for storage and authentication
Self-Driving Car Autopilot
Feb 2021
Predicting the steering angle for cars leveraging regression with convolutional neural networks (CNNs) to process real-time road image data, ensuring accurate and responsive navigation.
Fire Neural Network
Feb 2021
A custom trained fire detection model using YOLOv3, achieving accurate fire identification in images and videos. Fine-tuned the pre-trained YOLOv3 model with a custom dataset, enabling efficient fire detection.
Brain Tumor Classification
Feb 2021
A deep learning model to classify brain tumors into meningioma, glioma, and pituitary tumors with 90% accuracy. Utilized deep neural networks to achieve high performance in multi-class classification.
Face Mask Detection using Deep Learning
Feb 2021
CNN-based image classification model to detect face masks during the COVID-19 pandemic.
Experience
Experience
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Graduate Research Assistant
University of Florida
Feb 2023 - Present -
AI Software Developer Intern
GeoSpider
May 2024 - July 2024 -
Data Engineer
Accenture
Jun 2021 - Dec 2022
Skills
General AI
Programming Languages
Full Stack Development
Data Engineering
Machine Learning & Deep Learning
Data Science
Other Skills
Research
Detection of E. coli concentration with UV-C fluorescence imaging and deep learning
Presented at SPIE Conference, 2024.
An Effective Model for Pothole Classification and Admin Alerting System
Published in IEEE Explore, 2023 (ICCMST).
Blogs
ML in Two Worlds - Scikit-Learn vs PySpark - Tree based Algos (Blog-3)
A comparative exploration of tree-based algorithms in PySpark and Scikit-learn, detailing the implementation of Decision Tree, Random Forest, and Gradient Boosting Trees...
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ML in Two Worlds - Scikit-Learn vs PySpark (Blog-2)
A deep dive into the basic implementation of Logistic Regression in PySpark, contrasting it with Scikit-learn's approach, highlighting preprocessing and model evaluation techniques...
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ML in Two Worlds - Scikit-Learn vs PySpark (Blog-1)
An introduction to the differences between Scikit-learn and Spark's MLlib for linear regression, focusing on handling large-scale data and distributed computing...
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UniTrends: My First Data Engineering Project
Using Telegram API, Kafka, and AWS tools, I analyzed 'US F1 VISA' group chats, refining my YouTube content strategy and gaining 10k subscribers through data-driven insights...
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Quick Notes on NumPy (Part-2/2)
This blog dives into advanced yet essential topics in NumPy, covering intricate functionalities that are crucial for data manipulation and analysis...
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Short Notes on Pandas (Part-2/2)
Continuing from the first part, this blog explores the basics of Pandas, focusing on practical applications and fundamental operations for effective data handling...
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Quick Notes on NumPy (Part-1/2)
An introduction to NumPy, discussing its core features and basic operations that set the foundation for more advanced data manipulation techniques...
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I am open to volunteering for solving interesting problems. Let's collaborate and create something amazing together!
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Email:
vaddisnehit@gmail.com -
LinkedIn:
Snehit Vaddi