Hi, I'm Tushar.
Pre final year student at Netaji Subhash University of Technology.
Over the past years at NSUT, I've excelled in full-stack development, low-level programming with C++ servers , competitive coding, maching learning and deep learning, Distributed systems showcasing expertise through projects and a strong coding profile.
About
.
Hey, I'm Tushar, a Computer Science student at NSUT. I enjoy solving complex problems and building scalable applications, with a focus on backend development, system programming, and cloud infrastructure.
I have a solid understanding of Operating Systems, Object-Oriented Programming, Computer Networks, and System Design. I work with C++, TypeScript, Node.js, PostgreSQL, and Docker, and I am continuously refining my skills through hands-on projects.
I actively participate in competitive programming on CodeChef and CodeForces. It has helped me strengthen my algorithmic thinking and improve my problem-solving abilities through real-world challenges.
On the frontend, I specialize in React, Next.js, Tailwind CSS, and Framer Motion, ensuring seamless user experiences. I also work with DevOps tools like Docker, Kubernetes, Nginx, and CI/CD pipelines to enhance scalability and deployment.
I am always eager to learn and take on new challenges. With a strong work ethic and an adaptable mindset, I thrive in dynamic environments, collaborating and building impactful projects using modern technologies.
Skills
Experience
.
Building production systems, shipping real features, and solving real-world engineering challenges.
Software Engineer Intern
Worked on full-stack systems, contributing to backend APIs, business logic, and frontend fixes used by real users at scale.
Designed and fixed complex state-driven workflows (orders, approvals, pending/completed states, notifications), ensuring data consistency across dashboards and services.
Re-architected image storage by moving assets from local filesystem to AWS S3, ensuring consistent delivery across web and admin systems, and implemented admin-controlled banner management.
Collaborated closely with product and engineering teams, using Git, PRs, and QA workflows to ship features, hotfixes, and regressions under tight timelines.
SDE Intern
Developed a production-grade, real-time vehicle GPS tracking system for monitoring Mahindra's nationwide delivery fleets, improving visibility and route optimization.
Built and optimized RESTful APIs for handling high-frequency GPS data, shipment tracking, and fleet workflows, processing over 50K events daily.
Engineered a high-throughput Apache Kafka-based streaming pipeline to manage real-time location data with minimal latency and high availability.
Implemented advanced database indexing strategies in MySQL using Drizzle ORM, reducing query latency by 70% for frequent read operations.
Deployed the full-stack application on Mahindra Logistics' internal servers using Docker containers, NGINX for reverse proxy, and automated CI/CD via Jenkins.
.
Projects
A curated selection of projects spanning full-stack applications, AI/ML research, and low-level systems engineering.
Coding Profiles
.
Competitive programming stats & open-source contributions at a glance.
LeetCode
Contest Rating
Rating
2100+
Problems
1200+
Contests
25+
Title
Knight
Codeforces
Contest Rating
Rating
1633
Problems
600+
Contests
50+
Title
Expert
CodeChef
Contest Rating
Rating
1800
Problems
116
Contests
25+
Title
4★
GitHub
Total Contributions
Commits
1000+
Repos
50+
PRs
100+
Stars
50+
Achievements
.
Milestones, competition rankings, and recognized research work.
National Finalist
Amazon HackOn
Built an AI-powered video summarization platform.
- Cleared multiple rounds: online assessment, ideation, and prototyping.
- Implemented a mood-aware recommender system.
- Integrated co-watching and gamification features.
National Scholar
Algo University
Awarded a ₹1,00,000 merit-based scholarship.
- Distinguished among the highest 0.35% of applicants nationwide.
- Selected after solving two rigorous algorithmic coding challenges.
- Successfully cleared the final personal interview round.
Published Research
IEEE Conference (NIT Delhi)
Deep learning–based skin cancer detection research.
- Engineered a custom Convolutional Neural Network (CNN).
- Achieved 94% classification accuracy on clinical datasets.
- Presented findings at a recognized IEEE conference.
Top Performer
Mahindra Logistics Techathon
Pan-India technology and innovation hackathon.
- Succeeded through a rigorous multi-stage screening process.
- Cleared the national-level technical assessment.
- Advanced to the final evaluation round for top teams.
Education
Key Subjects Studied
Mathematical logic, set theory, combinatorics, graph theory, and algorithms.
10 CGPA
Arrays, linked lists, trees, graphs, recursion, dynamic programming, and greedy algorithms.
10 CGPA
Time complexity analysis, advanced sorting techniques, graph algorithms, and optimization strategies.
9 CGPA
Process management, memory management, file systems, concurrency, and synchronization techniques.
8 CGPA
Relational databases, SQL, indexing, transactions, and normalization.
9 CGPA
Programming languages(C++ , Python) , data types , OOP principles: encapsulation, inheritance, polymorphism,
8 CGPA
Random variables, probability distributions, statistical inference, and hypothesis testing.
10 CGPA
Computer organization, instruction set architecture, memory hierarchy, and I/O systems.
8 CGPA
Supervised and unsupervised learning, regression, classification, ML-algos and neural networks.
9 CGPA
.Positions of Responsibility
Mentor, GDSC (Google Developer Student Clubs)
Data Structures & Algorithms
Skills
Key Responsibilities
- Organized a DSA Bootcamp to mentor students in arrays and strings problems
- Actively mentor juniors, guiding them in projects and improving their dsa and cp skills
- Collaborated with other mentors to host tech talks and coding sessions
Contact Me
.
Let's build something amazing together.
Whether you have a question, a project opportunity, or just want to say hi, I try my best to get back to everyone!