Himanshu Chandekar
@himanshuchandekar
Software Development Engineer skilled in Java, Spring Boot, REST APIs, and scalable full‑stack solutions.
What I'm looking for
I am a Software Development Engineer with strong academic grounding in Computer Science and a track record of building scalable full‑stack applications and microservices. I deliver reliable APIs and systems focusing on performance, security, and maintainability.
At TCS I designed and deployed 10+ RESTful APIs with Java and Spring Boot, improving response time by 25% and maintaining 99.9% uptime while participating in Agile/Scrum processes to achieve a 95% on‑time sprint delivery rate.
My projects include a full‑stack README generator with OAuth2, MongoDB tracking, Dockerized deployments on AWS/Render and CI/CD pipelines, and an invite‑only e‑commerce microservices platform with Spring Security and JWT, both built for security and scalability.
I enjoy optimizing code, conducting thorough reviews to reduce production bugs, and applying data‑driven approaches to engineering problems. I seek roles where I can contribute to high‑impact systems, grow technically, and work within collaborative Agile teams.
Experience
Work history, roles, and key accomplishments
Designed and deployed 10+ RESTful APIs using Java and Spring Boot, improving system response time by 25% and ensuring 99.9% uptime; reduced production bugs by 30% through 20+ code reviews and CI/CD improvements.
Intern / Campus Ambassador
Internshala
Jan 2023 - Dec 2023 (11 months)
Promoted Internshala internships and trainings as a campus ambassador, driving a 4% increase in student registrations in the first month and building a community of 10+ active student participants via campaigns and webinars.
Education
Degrees, certifications, and relevant coursework
Prof. Ram Meghe Institute of Technology and Research, Badnera – Amravati
Bachelor of Engineering, Computer Science
2020 - 2024
Grade: 8.95 CGPA
Bachelor of Engineering in Computer Science with a CGPA of 8.95, completed coursework and projects focused on software development and machine learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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