Available to hire
Hi, I’m Ramandeep Singh Makkar, a final-year Computer Science engineer with a passion for data science, AI, and building scalable ML-powered applications. I enjoy turning complex data into actionable insights, designing efficient pipelines, and deploying robust solutions in cloud-native environments.
I’ve interned at Gamezop, Epilepto, and Parabox AI Solutions, where I built memory-augmented LLM pipelines, optimized inference, and implemented image denoising techniques. I thrive in remote team setups, continuously learning new tools like LangChain, Gemini, Docker, Kubernetes, and AWS to deliver efficient, maintainable solutions.
Skills
Language
English
Advanced
Work Experience
Data Science Intern at Gamezop
September 1, 2025 - November 24, 2025Contributed to two repositories with three PRs merged, deploying two production features that reduced model response time by 17% (from 1.8s to 1.5s) and improved accuracy by 7%. Developed and optimized image generation workflows using Gemini and Fal AI models, integrating automated uploads to AWS S3 via Boto3 for Bedrock–Lambda integration. Containerized backend services using Docker and deployed via Kubernetes for scalable orchestration.
Generative AI Intern at Epilepto
July 1, 2025 - July 1, 2025Developed modular, memory-augmented LLM pipelines using DSPy and mem0, contributing 4 merged PRs that enhanced context retention and improved model interpretability. Optimized LLM inference pipeline by replacing Claude/Haiku with Gemini LLMs, reducing input token cost by 60% and output token cost by 68%, while maintaining response quality through prompt refactoring and API-level optimization.
Data Science Intern at Parabox AI Solutions Pvt. Ltd.
January 1, 2025 - January 1, 2025Implemented advanced image preprocessing and denoising techniques, including Median Blur and Total Variation (TV) Denoising in OpenCV, enhancing medical image clarity and reducing noise by 24%. Engineered a finely-tuned hybrid XGBoost–CNN ensemble model achieving 92% accuracy.
Data Science Intern at Parabox AI Solutions Pvt. Ltd.
January 31, 2025 - January 31, 2025Implemented advanced image preprocessing and denoising techniques, including Median Blur and Total Variation Denoising in OpenCV, enhancing medical image clarity and reducing noise by 24%. Engineered a finely-tuned hybrid XGBoost–CNN ensemble model achieving 92% accuracy.
Education
Bachelor of Technology in Computer Science at Jaypee University of Information Technology, Solan
August 1, 2022 - June 1, 2026Bachelor of Technology in Computer Science at Jaypee University of Information Technology, Solan
August 1, 2022 - June 1, 2026Bachelor of Technology in Computer Science at Jaypee University of Information Technology, Solan
August 1, 2022 - June 1, 2026Qualifications
AWS Cloud Practitioner Essentials
January 11, 2030 - November 24, 2025Database Structures and Management with MySQL
January 11, 2030 - November 24, 2025Machine Learning with Python
January 11, 2030 - November 24, 2025AWS Cloud Practitioner Essentials (GeeksforGeeks)
January 11, 2030 - November 24, 2025Database Structures and Management with MySQL (Meta)
January 11, 2030 - November 24, 2025Machine Learning with Python (IBM)
January 11, 2030 - November 24, 2025AWS Cloud Practitioner Essentials
January 11, 2030 - November 24, 2025Database Structures and Management with MySQL
January 11, 2030 - November 24, 2025Machine Learning with Python
January 11, 2030 - November 24, 2025Industry Experience
Software & Internet, Computers & Electronics, Education, Professional Services, Healthcare, Life Sciences, Media & Entertainment
Skills
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