Profile Picture of Adithya Raj Melayikandy

Hello, I'm Adithya Raj Melayikandy

A full-stack developer specializing in the MERN stack, building scalable web apps and APIs.

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About Me

Welcome to my portfolio! I am a full-stack developer with experience in the MERN stack (MongoDB, Express.js, React, Node.js). I build scalable, user-focused web applications, design clean REST APIs, and care deeply about performance, reliability, and great UX. A Graduate in MS in Computer Science at the University at Buffalo, I am passionate about solving complex problems and shipping impactful products.

Professional Experience

Roles, responsibilities, and impact across engineering and consulting.

  1. Assistant System Engineer (Full-Stack)

    Tata Consultancy Services

    June 2023 – August 2024 · Mumbai, India

    React Node.js Express.js MongoDB

    Built full-stack web applications that streamlined business workflows, improved customer experiences, and delivered reliable APIs for internal and external consumers.

    • Delivered end‑to‑end features (UI → API → database) with clear documentation and smooth handoffs.
    • Designed REST APIs and data models for high‑traffic workflows, improving reliability and response times.
    • Built responsive React interfaces with reusable components and state management best practices.
    • Implemented auth, validation, and logging for secure, maintainable backends.
    ↑ Efficiency
    Workflow cycle time reduced
    ↓ Manual Work
    Automation coverage expanded
    95%
    Env. uptime across go‑live

  2. Trainee Associate Software Engineer

    Sieva Networks Solutions

    April 2023 – May 2023 · Remote

    PHP REST APIs MySQL Performance

    Built and maintained robust PHP backends, integrating third‑party services and internal APIs to deliver richer functionality. Focused on optimizing performance and scalability for smooth, high‑traffic experiences.

    • Implemented API integrations (auth, payments, messaging) with secure request signing and retries.
    • Optimized queries and caching (indexes, pagination, query plans) to cut response times.
    • Hardened error handling, logging, and monitoring for faster incident resolution.
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Education

A snapshot of my academic journey - coursework, focus areas, and milestones.

  1. Masters in Computer Science Graduate

    University at Buffalo, SUNY

    Fall 2024 – Present

    GPA: 3.86 / 4.00

    Focus Areas

    • Machine Learning & Deep Learning
    • Computer Vision
    • Data-Intensive Computing
    Relevant Coursework View list
    Computer Security Intro to ML Algorithms Data Intensive Computing Deep Learning Data Mining Operating Systems DBMS Computer Vision

  2. B.Tech — Electrical & Electronics Engineering

    Amrita Vishwa Vidyapeetham

    July 2018 – August 2022

    GPA: 8.19 / 10

    Core Domains

    • Signals & Systems
    • Power & Control
    • Embedded & Microcontrollers
    Relevant Coursework View list
    Circuit Analysis Digital Signal Processing Power Systems Control Systems Microcontrollers Electromagnetics Linear Integrated Circuits
Explore my projects

My Skills

Machine Learning & AI

  • Supervised & Unsupervised Learning
  • Deep Learning (ANN, CNN, RNN, LSTM, GANs)
  • Transfer Learning (ResNet, BERT)
  • Computer Vision (Image Classification, Object Detection, Camera Calibration)
  • Natural Language Processing (Tokenization, Embeddings, Sentiment Analysis)
  • Transformer-based Models (BERT, GPT-style, Word2Vec)
  • Retrieval-Augmented Generation (RAG)
  • Explainability & Model Debugging
  • Hyperparameter Tuning, Overfitting Mitigation
  • Data Mining & Statistical Modeling (PageRank, Graphical Lasso)

ML Frameworks & Libraries

  • TensorFlow / Keras
  • PyTorch
  • Scikit-learn
  • OpenCV
  • NLTK / spaCy
  • Hugging Face Transformers
  • LangChain

Software & Web Development

  • Languages: Python, JavaScript, C/C++, SQL, R, PHP
  • Frontend: React.js, HTML5, CSS3, Tailwind CSS, Responsive Web Design, EJS
  • Backend: Node.js, Express.js, RESTful API Development
  • Databases: MongoDB, Mongoose, Firebase/Firestore, MySQL, PostgreSQL, FAISS
  • Version Control: Git & GitHub
  • Cloud & Deployment: Docker, AWS EC2 (beginner)

Data Science & Analytics

  • Data Handling: Pandas, NumPy, Data Cleaning & Preprocessing, Data Augmentation
  • Visualization: Matplotlib, Seaborn, Plotly, ggplot2
  • Statistical Analysis: Hypothesis Testing, Correlation, Time Series Analysis
  • SQL for Data Extraction & Optimization
  • Advanced Excel Functions (VLOOKUP, IF, OR, Pivot Tables)
  • Business Analysis (Margin, Sourcing Loss, Fill Rate, Inventory at Risk)

Computer Science Fundamentals

  • Data Structures (Arrays, Linked Lists, Trees, Graphs, Heaps)
  • Algorithms (Sorting, Searching, Greedy, Divide & Conquer, Dynamic Programming)
  • Time and Space Complexity Analysis
  • Recursion and Backtracking, Hashing, Memoization
  • Object-Oriented Programming (OOP)
  • Operating Systems Internals (Syscall Handling, Process Control, Scheduling Algorithms, Kernel Debugging)
  • Memory Management (Stack Layout, Virtual Memory)

Tools & Platforms

  • Jupyter Notebooks, Kaggle, Google Colab / Colab Pro
  • Weights & Biases / TensorBoard
  • UNIX/Linux Command Line
  • APIs (Integration & Development)
  • Postman, VS Code, PyCharm
  • Notion / Trello / Slack
  • GDB, QEMU
  • AWS, Vercel, Render, Azure, MS Office

My Projects

Chit-Chat Social Media App

Chit-Chat Social Media App

Chit-Chat is a dynamic social media platform designed to foster real-time connections and seamless engagement through interactive features like instant likes and secure user authentication.

MERN AWS S3 Heroku Vercel
View Live
Cover letter Generator

Cover letter Generator

A streamlined tool that leverages the Gemini API and AWS to automate the creation of tailored, professional cover letters with high-speed precision.

Google Gemini AWS Lambda MERN Vercel
View Live
Sentiment Analysis Chatbot Project

AI Chatbot with Sentiment Analysis

Developed a conversational AI chatbot leveraging NLP techniques for sentiment and sarcasm classification. Integrated with LangChain and vector databases for RAG capabilities, providing a Streamlit UI.

Python NLP LangChain Streamlit Vector DBs
Image Translation Project

Sketch-to-Photo Image Translation

Implemented a Pix2Pix Generative Adversarial Network (GAN) for image-to-image translation, specifically converting hand-drawn sketches into realistic photos using the CUHK Dataset.

PyTorch GANs Computer Vision Deep Learning
Transformer-Based Text Classification Project

Transformer-Based Text Classification (PyTorch)

Built a Transformer model from scratch in PyTorch for NLP classification. Implemented positional encoding and attention mechanisms, achieving over 94% test accuracy with various optimization techniques.

PyTorch NLP Transformers Python
Emoji Guess Game Project

Emoji Guess Game

Developed an interactive emoji-based game using React, featuring predictive logic to determine the user's chosen emoji based on row selections. Optimized UI for dynamic updates and real-time feedback.

React JavaScript UI/UX
View Live GitHub
Todo List Project

To-Do List Application

Developed a dynamic and user-friendly To-Do List application using EJS and HTML for the frontend. Implemented a Node.js backend for task management and utilized MongoDB with Mongoose for data persistence.

Node.js Express.js MongoDB EJS HTML
Multilabel External Fault Classification Project

Multilabel External Fault Classification of Induction Motor

A project involving the classification of external faults in induction motors using Machine Learning Models, published in IEEE. This showcases expertise in applying ML to real-world engineering problems.

Machine Learning Python Data Analysis
View Publication

Get In Touch

I'm always open to new opportunities and collaborations. Feel free to reach out if you have any questions or just want to connect!

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