about me.
Hi, I'm Deepak!
I studied Computer Science at NIT Jalandhar and currently spend most of my time thinking about infrastructure, developer platforms, and why production systems always manage to be more interesting than they looked in staging.
At Bluno, I worked on infrastructure automation, observability, cloud-native systems, and CI/CD platforms as an SRE/DevOps Intern. Prior to that, I interned at Optum, where I worked on applied AI projects and gained firsthand exposure to the challenges of building and operating software at enterprise scale.
These days, I'm particularly interested in Platform Engineering, DevOps, Distributed Systems, and Applied AI. I enjoy building tools and systems that make engineers more productive and platforms easier to operate.
I like hard engineering problems, ambitious ideas, and building things that people actually use. If that sounds like your kind of thing, I'd love to chat.
my experience.
Bluno
Site Reliability Engineer Intern
Migrated legacy ECS deployments to a centralized Terraform-driven CI/CD platform, improving deployment consistency and operational scalability.
Built security-first CI/CD pipelines with Trivy, SonarQube, Syft, and Grype, strengthening application and container security.
Developed modular Terraform infrastructure and automated AWS maintenance workflows using Lambda, EventBridge, and Step Functions to standardize provisioning and optimize non-production costs.
Improved platform reliability and observability with SigNoz and OpenTelemetry by enhancing monitoring, tracing, and deployment stability.
Optum (UnitedHealth Group)
Technology Development Intern (TDP) Intern
Developed a hybrid ML/DL + LLM pipeline for anomaly detection on large-scale data, improving accuracy by 34%+ and cutting manual review time from days to hours.
Built an intelligent prediction platform leveraging feature engineering, transformers, autoencoders, and anomaly detection methods; later enhanced with an LLM + retrieval-augmented generation (RAG) system to improve interpretability and explainability.
Designed and deployed scalable ML services using containerization and cloud orchestration, reducing model retraining and deployment cycles by ~40%.
my work.
LMS Platform - EdTech
2024 · An LMS EdTech platform for course management
category : Full-Stack
Collaboratively designed and implemented a scalable Learning Management System (LMS) using Next.js enabling teachers to create, publish, and update courses dynamically, leveraging MongoDB and Prisma for efficient data storage and retrieval.
Designed a comprehensive student dashboard featuring course enrollment, progress tracking, and personalized analytics, resulting in a 30% increase in student engagement and satisfaction.
Integrated NextAuth.js for secure authentication and role-based access control, boosting platform security and user experience by 40%.
Eclipsify
2023 - 2024 · Supporting individuals in their mental health journey.
category : Android-App
Selected as a Global Top 100 Finalist in the Google Solution Challenge 2024 , showcasing its innovation.
Integrated Google Gemini for an AI chatbot to provide mental health support.
Reduced app load times by 30% through efficient code optimizations.
Increased user engagement by 47% through features such as daily tips and mood tracking.
Music Player
2023 · C++ Audio Application.
category : C++ Application
Led a team of 3 to implement a robust design using C++ and the SFML library.
Streamlined the codebase by 43% through Object-Oriented Programming (OOP) principles.
Enhanced file handling efficiency, reducing file I/O operations by 25% for seamless data persistence.
Integrated a visually appealing graphical user interface (GUI) with SFML, featuring visualizer and buttons for an engaging user experience.