Sanjay Sankar
Education
2022 - Present
GitHub Contributions
About me
a backend & ML engineer who builds scalable systems and trains models that actually ship — not just notebooks that sit on a drive.
currently crafting a lightweight ML library in Go, because understanding something deeply means building it from scratch.
open to internships and campus placements. if you're building something ambitious, let's talk.
Tech Stack
i'm a generalist at heart who likes to experiment with programs , but here's the core stack i've spent the most my time with .
Java BPE LLM Tokenization Engine
Core Java
Dependency-free Java library implementing Byte Pair Encoding and WordPiece tokenization algorithms used in modern LLMs.
View DetailsGo-ML Framework
Golang
Systems-level ML framework ported from C-based nn.h architecture to Go — built to understand model internals from the ground up.
View DetailsSmart Clinic Management System
Spring (Java)
Full-stack web app handling medical appointments, patient records, and staff scheduling for clinic operations.
View DetailsRetail-Core: Microservices API Suite
Spring (Java)
RESTful backend suite covering inventory tracking, order processing, and transactional data management at scale.
View DetailsPet Care Scheduler
Core Java
Modular console app for managing pet services, built as a deep-dive into advanced Core Java design patterns.
View DetailsCertifications
IBM Java Developer Professional Certificate
IBM · Mar 2026
Cloud Native, Microservices, Containers, DevOps, and Agile
AWS Cloud Practitioner Essentials
Amazon Web Services (AWS) · Mar 2026 · ID: QMWWTGJGKC9B
Foundational cloud computing and AWS services
Programming with Google Go
UC Irvine · ID: O070J3MJK7Q6
Go Specialization
Experience
Infotact Software Solutions
Full Stack Java Intern
Architected and maintained enterprise-level applications using the Spring Boot ecosystem, focusing on scalable backend logic and seamless frontend integration.
- Designed and documented RESTful APIs using Swagger/OpenAPI, ensuring high discoverability and clear documentation.
- Streamlined development by implementing Lombok for boilerplate reduction and utilized Postman for automated API testing.
- Optimized data persistence layers and managed relational schemas to support high-concurrency operations.
Cognifiz Solutions
Machine Learning Intern
Developed and deployed predictive models, focusing on the end-to-end machine learning lifecycle from data preprocessing to model evaluation.
- Conducted exploratory data analysis (EDA) on large datasets to extract actionable insights and key features.
- Implemented and fine-tuned supervised and unsupervised learning algorithms to solve specific business challenges.
- Collaborated on integrating ML models into existing software architectures for efficient real-time inference.
Documentation
•View my professional experience and technical background in my updated resume
•Interested in my architectural approach? check out my system design breakdowns
Philosophy & Influences
"Simplicity is a great virtue but it requires hard work to achieve it and education to appreciate it. And to make things worse: complexity sells better."
— Edsger W. DijkstraI focus on the intersection of technical rigor and thoughtful architecture, driven by a need to understand systems at a fundamental level. My approach to engineering is deeply shaped by creators who prioritize building from the ground up and setting high technical standards.
I highly value the low-level exploration of Tsoding, the minimalist, single-header utility of Sean Barrett, and the exceptional technical breadth of Fabrice Bellard.
© 2026 Sanjay Sankar. All rights reserved.