Atharva Kotibhaskar
@atharvakotibhaskar
Back End Developer skilled in Python and cloud technologies.
What I'm looking for
I am a passionate Back End Developer with a strong foundation in software engineering and a keen interest in developing innovative solutions. My recent role at Enfinite Technologies has allowed me to design and develop a GenAI application for petroleum engineers, significantly enhancing their ability to run physics-based simulations in real-time. I take pride in leading the development of event detection algorithms that process data from over 1,000 wells across South America, showcasing my ability to handle complex data challenges.
My academic background includes a Master of Science from Fergusson College, where I honed my analytical skills through various projects, including statistical modeling and data analysis using Python. I have experience in building and optimizing data pipelines, managing APIs, and implementing CI/CD pipelines to streamline deployment processes. I am committed to continuous learning and improvement, as evidenced by my involvement in research projects at the Indian Institute of Science Education and Research, where I developed algorithms to analyze particle production in high-energy collisions.
Experience
Work history, roles, and key accomplishments
Software Development Engineer
Enfinite Technologies
Jul 2023 - Present (1 year 11 months)
Designed and developed a GenAI application for petroleum engineers to run physics-based simulations on oil wells in real time. Led the development and scaling of event detection algorithms for oil and gas fields, successfully processing data from over 1,000 wells across South America.
Project Fellow
Indian Institute of Science Education and Research
May 2020 - Present (5 years 1 month)
Worked on two projects, using Bayesian methods to study correlations and fluctuations in nucleus-nucleus collisions and developing a statistical model for the nucleon structure function. Designed Python algorithms to analyze particle production changes and built a Bayesian model to reconstruct patterns in particle counts and energy fluctuations.
Education
Degrees, certifications, and relevant coursework
Fergusson College
Master of Science, Science
Completed a Master of Science degree.
Fergusson College
Bachelor of Science, Science
Grade: 9.32
Completed a Bachelor of Science degree with a CGPA of 9.32.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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