Apurva Surya
@apurvasurya
Experienced software engineer specializing in machine learning and automation.
What I'm looking for
I'm a dedicated software engineer with over four years of experience in developing innovative solutions and enhancing product functionalities. Currently, I work at GridRaster, where I've successfully integrated advanced technologies like WebRTC and 3DSTK into our product pipeline, significantly improving communication and interaction capabilities. My work involves deep technical understanding and practical application of the latest networking practices and XR libraries, which has honed my problem-solving skills and attention to detail.
In addition to my engineering experience, I have a solid background in research, having worked as a research assistant at prestigious institutions like IIM Ahmedabad and IIT Delhi. My research has focused on applying machine learning techniques to analyze complex datasets, which has further strengthened my analytical skills. I have also contributed to various projects, including video segmentation and molecular analysis, showcasing my versatility and ability to adapt to different domains.
Experience
Work history, roles, and key accomplishments
Software Engineer
GridRaster
Feb 2022 - Present (3 years 5 months)
Integrated WebRTC M116 into the company's product network pipeline and enabled over-the-network communication between services using sockets. Debugged several issues arising from using the latest XR libraries in Unity, including loss of FPS control and product crashes.
Research Assistant
IIM Ahmedabad
Jun 2021 - Present (4 years 1 month)
Applied machine learning and econometrics to analyze rural labor market data. This research involved complex statistical modeling and data interpretation to derive insights into economic trends.
Research Assistant
IIT Delhi
Nov 2020 - Present (4 years 8 months)
Developed topic models and panel regressions on large-scale Indian survey datasets. This involved advanced statistical techniques to extract meaningful patterns and relationships from extensive data.
Software Engineering Intern
Fidelity Investments
Jun 2019 - Present (6 years 1 month)
Automated employee allocation using classification models and comparative scoring, which significantly improved planning efficiency. This involved developing and implementing machine learning models to streamline the allocation process.
Software Engineering Intern
National University of Singapore
Dec 2018 - Present (6 years 7 months)
Built software pipelines for driver distraction and anomaly detection using machine learning techniques on the STAIRS dataset. This project focused on developing robust systems for real-time analysis of driver behavior.
Research Assistant
CEERI Pilani
May 2017 - Present (8 years 2 months)
Created an LSTM-based text generator trained on classic literature. This project involved deep learning techniques for natural language processing and generative model development.
Technical Intern
505 Army Base Workshop
May 2016 - Present (9 years 2 months)
Suggested automation enhancements and GPS-based targeting for T-92 tank systems. This involved analyzing existing systems and proposing technological improvements to enhance operational efficiency.
Education
Degrees, certifications, and relevant coursework
BITS Pilani
B.E. + M.Sc., Electronics and Instrumentation
Grade: 7.5 CGPA
Graduated with a dual degree in Electronics and Instrumentation. Achieved a CGPA of 7.5.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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