Hey, I am Tyagi

Problem-solver, Developer, Computer Science Engineer

I am a B.Tech student at IIIT Sri City, specializing in Computer Science, with a strong passion for system design, cloud technologies, and problem-solving. My technical expertise spans C++, Java, HTML, CSS, Bootstrap, JavaScript, and databases like SQL, MongoDB, Redis, and DynamoDB. I'm also proficient in tools such as Git, GitHub, Node.js, React.js, Maven, and frameworks like Express.js, OpenCV, and Sklearn.

My academic foundation includes courses in algorithms, object-oriented programming, database management, and computer networks, all of which have sharpened my ability to design scalable, efficient systems. I have worked on a range of projects, applying my skills in full-stack development, machine learning, and deep learning.

With a keen interest in system architecture and cloud technologies, I constantly explore emerging tools and technologies to enhance my expertise and contribute to impactful, real-world applications. I enjoy solving complex problems and sharing my insights through my projects and discussions.

Profile photo

Experience

Morphle Labs

Software Development Engineer Intern (Backend / Robotics) (Dec 2025 – Present)

I joined Morphle Labs in December, stepping into a fast-paced robotics engineering environment where software directly influences physical system behavior.

During my initial months, I worked on the robot’s distributed vision infrastructure — a system composed of multiple Raspberry Pi camera nodes responsible for live video broadcasting and frame capture pipelines built on ZeroMQ. My focus was on developing a deep understanding of the architecture before contributing new functionality. This involved tracing service boundaries, analyzing data flows, and studying real-time communication patterns across the vision stack.

  • Platform Transition & Integration: As the product evolved, I transitioned to contributing to the next-generation Robotom platform. This version introduced significant hardware changes that required corresponding software adaptations across multiple subsystems. I actively participated in understanding these hardware–software interactions, supporting updates to system logic, and ensuring smooth integration within the distributed environment.
  • System Mapping & Coordination: Alongside feature development, I invested time in learning the complete spatial and operational mapping of the robotic system — including component relationships, control flows, and motion coordination principles.
  • Engineering Growth: This experience strengthened my practical understanding of robotics software engineering, real-time distributed systems, and system-level thinking.

Working in this environment has been highly immersive, offering continuous learning opportunities and direct exposure to how engineering decisions translate into real-world robotic behavior.

OncoDisha

Django Backend Engineer Intern (Feb 2025 – Nov 2025)

My time at OncoDisha was defined by ownership, trust, and real-world impact. Every day began with a 10:00 PM team call—six of us, including two founders and four interns—discussing what we built, what broke, and what we wanted to improve. Problems were shared openly, solutions came collaboratively, and learning was constant.

OncoDisha is a fast-moving healthcare startup that treats interns like engineers. From day one, I was given full responsibility—access to premium tools, generative AI, and Google Cloud Platform—to design, deploy, and operate production systems that directly supported palliative care workflows.

  • Backend Systems & APIs: Built and maintained Django-based APIs powering patient tracking, financial planning, and care coordination across multiple internal applications.
  • Real-Time Communication: Engineered WebRTC-based communication flows with RESTful APIs, enabling seamless doctor–patient interactions with sub-100 ms latency.
  • Cloud & Production Deployment: Deployed and managed services on Google Cloud Platform using Docker and Kubernetes, gaining hands-on experience with real production infrastructure and reliability concerns.
  • AI & Generative Systems: Integrated and optimized Hugging Face–based LLM pipelines, working with prompt engineering, retrieval-augmented generation (RAG), and evaluation workflows tailored for healthcare use cases.

What stood out most was the culture. We revisited every feature with intent—questioning design decisions, performance trade-offs, and real patient impact. The environment was friendly, ego-free, and deeply curious. By the time I moved on, I had not only strengthened my backend and cloud engineering skills, but also learned how strong engineering teams communicate, iterate, and build meaningful products together.


System Design And Backend Development-- Projects

Full archive →

Things I have created recently.

MERN Stack -- Projects

Full archive →

Things I have created recently.


Machine Learning and Computer Vision -- Projects

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Things I have created recently.



Btech Project Under Dr. Bheemappa Halavar

We are currently developing a Federated Learning framework using MPI, specifically tailored for Medical Image Analysis (MIA). This is part of an 8-credit, two-semester project conducted under the supervision of a faculty advisor

Currently Working Projects



Currently Exploring Research Papers

Papershelf →

Papers I have read recently or going to read

SIEVE is Simpler than LRU: An Efficient Turn-Key Eviction Algorithm for Web Caches - Yazhuo Zhang & Juncheng Yang & Yao Yue & Ymir Vigfusson & K. V. Rashmi
Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service - Mostafa Elhemali & Niall Gallagher
Amazon MemoryDB: A Fast and Durable Memory-First Cloud Database - Yacine Taleb & Kevin McGehee & Nan Yan & Shawn Wang & Stefan C. Muller & Allen Samuels
Cassandra: A Decentralized Structured Storage System - Avinash Lakshman & Prashant Malik
Dynamo: Amazon's Highly Available Key-Value Store - Amazon.com
Fast Key-Value Stores: An Idea Whose Time Has Come and Gone - Atul Adya & Robert Grandl & Daniel Myers & Henry Qin
Google File System - Sanjay Ghemawat & Howard Gobioff & Shun-Tak Leung
Kademlia: A Peer-to-Peer Information System Based on the XOR Metric - Petar Maymounkov & David Mazieres
Key-Value Storage Engines - Stratos Idreos & Mark Callaghan
Learning Key-Value Store Design - Stratos Idreos & Niv Dayan & Wilson Qin & Mali Akmanalp & Sophie Hilgard & Andrew Ross & James Lennon & Varun Jain & Harshita Gupta & David Li & Zichen Zhu
NanoLog: A Nanosecond Scale Logging System - Stephen Yang & Seo Jin Park & John Ousterhout
SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores - Oana Balmau