Machine Learning | Backend Systems | GSoC’25 @ Python | Ex-SDE Intern @ HackerRank | Maintainer @ CVE-Binary-Tool
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Researcher, Open-Source Contributor and Maintainer. On the Engineering side, I mostly work with backend systems with special interest in network and OS related problems. On the Deep Learning side, my major area of interest is Generative Models: Auto-Regressive, Latent-Variable, Energy-based, Score-based and GANs. Coming to Open-Source, I contribute to and maintain CVE-Binary-Tool - previously backed by Intel and currently backed by OpenSSF. Also contributed to other Open-Source projects.
Vidya Bharti Chinmaya Vidyalaya, Jamshedpur
Higher Secondary
January 1, 2020 – January 1, 2022
ABV-Indian Institute of Information Technology and Management
Bachelor of Technology - BTech, Computer Science
N/A – Present
HackerRank
SDE Intern
January 1, 2026 – June 1, 2026
Bengaluru · On-site
Google Summer of Code
Student Contributor
May 1, 2025 – September 1, 2025
Remote
Nyun AI
Machine Learning Engineer Intern
February 1, 2025 – March 1, 2025
Remote
YahWeh Innovations
Machine Learning Engineer Intern
July 1, 2024 – December 1, 2024
Remote
StarFace Creator
July 1, 2023 – August 1, 2023
· Created A Celebrity Image Generator Using Deep Learning. · Utilized Deep Conditional Convolutional Generative Adversarial Network (DCC-GAN) to achieve this. · Optimized training using TPU distribution strategy, significantly accelerating the process and enhancing scalability by over 90%.
Dynamic Image Styler
January 1, 2023 – February 1, 2023
· Used Probabilistic Modelling to Dynamically Style Images Using Tensorflow. · Successfully added and implemented KL-Divergence Loss Into the Application. · Applied Various optimizations to improve the model efficiency by over 80%.
Cultural Fit Analysis
The candidate's involvement in open-source (Google Summer of Code) and diverse ML projects (image styling, celebrity generation, quantization research) indicates a proactive and curious individual. Their experience aligns well with a culture that values innovation, continuous learning, and practical application of advanced ML concepts. The internships suggest an ability to adapt to different organizational structures and contribute effectively. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's experience at Google Summer of Code, where they contributed to CVE-Binary-Tool and took over maintainer duties, suggests strong initiative, problem-solving, and a collaborative mindset. Their focus on optimizing processes and improving efficiency in projects indicates a results-oriented approach. However, without specific psychometric or English test scores, a comprehensive assessment of communication, stress handling, and team collaboration is limited.