Deep Chokshi

I'm

About

Artificial Intelligence Engineer

🔹 AI Engineer | Machine Learning Enthusiast | Lifelong Learner

I am an innovative and seasoned AI Engineer with a track record of designing, developing, and deploying complex AI solutions that create value for businesses and end-users. With a solid foundation in Computer Science and extensive experience in Machine Learning and Deep Learning, I am proficient in several AI technologies, tools, and methodologies.

My passion for Artificial Intelligence fuels my dedication to continuous learning, allowing me to stay abreast of the latest AI trends and technologies. I specialize in natural language processing, computer vision, and reinforcement learning, but I'm always exploring new territories and challenges.

As a data-driven problem solver, I value collaboration, transparency, and iterative improvement. Over the years, I've worked with diverse teams and across multiple sectors, providing unique AI solutions that enhance productivity, improve customer experience, and drive growth.

In this digital age where AI is the new electricity, I'm excited about leveraging technology to make a positive impact. Feel free to reach out if you're interested in discussing AI, potential collaborations, or if you need help with an exciting project.

"Always learning, always evolving."

  • Birthday: 04 Jul 1999
  • Website: www.deepchokshi.com
  • Phone: +91 873 390 9843
  • Degree: M.Tech in ML & AI
  • Email: deep.chokshi@outlook.com
  • City: Ahmedabad, India

Skills

Programming

Python, Java, C, & C++

Data Processing & Streaming

Spark, Hadoop, Snowflake, Kafka, Pandas, & NumPy

Database

MySQL, MS SQL, PostgreSQL, & MongoDB

Artificial Intelligence

Machine Learning Algorithms (Random Forest, Linear Regression, SVM, Decision Tree, ARIMA), TensorFlow, Keras, Sci-kit Learn, & Deep Learning Algorithms(FRCNN, YOLO, RestNet50, VGG16, LSTM)

Framework

Flask, Django, FastAPI, & Dash

other

Git, GitHub, Docker, CI/CD pipelines, Statistics, Power BI, HTML, CSS, & Agile

Resume

Education

Master of Technology

2020 - 2022

Lovely Professional University, Punjab, India

Machine Learning & Artificial Intelligence

Bachelor of Technology

2016 - 2020

Parul University, Gujarat, India

Information Technology

Certification

Professional Experience

Software Engineer

Jan 2022 - Feb 2023

Aatash Group, Ahmedabad, IN

  • Designed and implemented an end-to-end data processing pipeline on the GCP, leveraging technologies such as Dataflow, Pub/Sub, and Cloud Storage.
  • Transformed data from multiple sensors into JSON format and stored it in Google Cloud's managed NoSQL database, Firestore, resulting in a 90% reduction in data size.
  • Led the successful migration of MS SQL data from an on-premises server to Google Cloud SQL, a fully managed and highly available relational database service. This involved identifying the most effective data transfer methods and ensuring data accuracy and consistency.
  • Developed REST APIs using Flask and deployed them on App Engine. APIs were designed to stream data from Firestore and enable CRUD operations on the database.
  • Built a user-friendly dashboard for real-time data monitoring and sensor management, using Data Studio and integrated with Firebase Authentication for secure user access.
  • Built a vision-based navigation system for unmanned aerial vehicles (UAVs) using infrared and stereo cameras and optimized it with an AI algorithm that analyzed 120 frames per second across 3000+ CUDA cores.
  • Optimized error measurement by integrating multiple sensors, including RADAR, LiDAR, and IR, to accurately determine obstacle distance and altitude.

Machine Learning Intern

June 2021 - Dec 2021

L & T Technology Services, Bangalore, IN

  • Created a framework that utilizes deep learning algorithms (FRCNN & VGG16) to localize and extract data from 10,000 scanned documents.
  • Applied OCR (Tesseract) to process the data extraction and translate it into another language.

Data Analyst

May 2020 - Jun 2020

The Shaadi Times, New Delhi, IN

  • Designed a model to forecast air pollution for the next two years using the Indian Air Pollution dataset.
  • Pre-processed the data by reducing the error of missing data and visualized using Tableau.