Professional Experience

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Applied AI professional with strong fundamentals and proven experience in Artificial Intelligence and Machine Learning projects in fast-paced startup environments, demonstrating rapid career progression from intern to Senior Data Scientist within 2 years. Expertise in designing and building scalable data pipelines and distributed systems for large-scale data processing using PySpark, Databricks, and Apache Spark on AWS EMR. Strategic thinker with excellent communication skills and technical expertise in AI models and LLMs (ChatGPT, Llama2, Claude), cloud computing platforms (AWS, Azure), and container technologies (Docker, Kubernetes).

Work Experience

Senior Data Scientist
Aug 2023 – Present
Petrabytes | Houston, TX
  • Promoted to Data Scientist in June 2024 and Senior Data Scientist in September 2025, demonstrating ability to lead and reliability in delivering results in a fast-paced startup environment
  • Represented the company at industry conferences presenting AI/ML products and solutions, and participated in networking events to build strategic partnerships
  • Collaborated directly with AWS partnership team to architect and implement cloud-based AI solutions, leveraging Bedrock, SageMaker, and other AWS services
  • Presented technical solutions and product demonstrations to prospective clients, contributing to business development efforts
  • Developed LLM RAG based domain specific conversational AI agents using various AI models - ChatGPT, Llama, Claude, with iterative experiments to improve performance
  • Designed and built scalable Databricks data pipelines for large-scale distributed data processing, optimizing PySpark and Delta Lake code on AWS EMR
  • Developed ETL pipelines using Apache Spark and PySpark for processing and transforming large datasets in distributed computing environments
  • Implemented DevOps practices and continuous improvement processes for AI/ML application deployment and monitoring
  • Provided mentorship to interns and contributed to team building initiatives, fostering ethical practices, technical growth, and continuous learning culture
Research Assistant
Dec 2022 – Dec 2023
Center for Pattern Recognition and Machine Learning, PESU | Bangalore, India
  • Worked on the development of an AI-powered Computer Vision and Machine Learning based solution for diagnosis and stage detection of Retinopathy of Prematurity, an ocular disease in the healthcare domain
  • Developed multiple AI CNN Models using fundus images obtained from Narayana Nethralaya Hospital, Bangalore for diagnosis with accuracies between 87% and 93%
AI/ML Summer Intern
Jun 2023 – Aug 2023
Pronisi | Bangalore, India
  • Worked on AI Prompt Engineering using ChatGPT and development of an AI Recommendation Engine for budding sports players based on numerical data points generated from user videos using Python
  • Developed a fully overhauled version of the codebase with full ChatGPT AI integration, enabling a more engaging user experience and 75% reduction in runtimes
Software Engineering Intern
Jun 2022 – Jul 2022
Kognosdata | Bangalore, India
  • Worked on Data Analysis using Python libraries, development of front-end using Vaadin (a Java web application development platform), and Java back-end programming for Petroleum Engineering software products
  • Performed data analysis on Excel files and other data sources for information systems

Technical Skills

Programming Languages

C, C++, Java, Python, HTML, CSS, JavaScript, MySQL

Cloud Computing

AWS (SageMaker, Bedrock, EC2, RDS, S3, EMR, EKS), Azure (Blob Storage)

Big Data & Distributed Systems

Apache Spark, PySpark, Databricks, Delta Lake, Hadoop, AWS EMR, Large-scale data processing

AI/ML Technologies

ChatGPT, Llama2, Claude, LangChain, TensorFlow, Keras, Hugging Face, AI Agents, RAG Systems

DevOps & Containers

Docker, Kubernetes, DevOps practices, Continuous Integration

Data Science Tools

Jupyter Notebook, Data Analysis, Data Visualization

Education

BS in Computer Science and Engineering (Information Systems)
2020 – 2024
PES University | Bangalore, India

GPA: 9.81/10

  • Graduated in the top 1% of the class (ranked 9th amongst 1,320 students)
  • Awarded the CNR Scholarship for consistent academic excellence, ranking in the top 1% of the student body every semester, covering 40% of tuition fees

Publications

Accelerating Unstructured and Semi-Structured Data Insights with Generative AI

EAGE Digital 2025

Authors: Sashi Gunturu, Atharva Gadad, Yuriy Gubanov, Dmitriy Tishechkin

Deep Learning for Classifying Stages of Retinopathy of Prematurity

AMATHE 2024

Authors: Ayush Satish Govind, Atharva Gadad, Dhruv Jyoti Garodia, Ayush Gupta, Anand Vinekar, Gowri Srinivasa

A Pugnacious Comparative Study of Data Analysis Techniques for Wine Quality Prediction

I2CT 2024

Authors: Dhruv Jyoti Garodia, Atharva Gadad, Aaditya Vikram