Full Stack Developer • FastAPI Backend Engineer • AI Systems Builder
I build full-stack applications, backend systems, and AI-powered tools that solve real-world problems.
building systems ✦
AI Academic Integrity
Learning Core Linguistics
Architecting agent tools
Contributing on GitHub
notebook log ✦
Hey! I'm Samiksha — a Full Stack Developer and aspiring AI/ML systems engineer. I care deeply about building clean, production-ready web APIs, data pipelines, and intelligent tools that solve practical problems.
I specialize in React, FastAPI, and PostgreSQL, with a growing focus on NLP (Natural Language Processing) and cloud systems. My CGPI of 9.15 (with a Semester 6 GPA of 9.8) reflects the discipline I bring to both academic systems and self-directed building.
Five fields where I concentrate my core development and engineering effort.
Building scalable backend APIs. Type safety, automated documentation, and asynchronous runtime handlers.
Designing structured relational systems. Schema modeling, relations mapping, indexing, and complex queries.
Creating responsive user experiences. Structured component architecture, secure dashboard states, and fetch hooks.
Managing cloud-based storage. Programmatic bucket integrations, credential locks, and scalable media folders.
Exploring NLP and intelligent systems. Classification engines, text embedding checking, and feature extraction.
Click on the folder tabs below to review specific categories from my resume.
Staggered index dividers open the project log sheets below.
A chronological log of my education, key milestones, and engineering growth.
Mumbai University • CGPI 9.15
Maintained strong academic performance throughout the degree program (Sem 6 GPA: 9.8) while building foundations in software engineering, databases, networking, and web development.
AI Academic Integrity Platform
Designed and developed a full-stack academic integrity platform enabling classroom management, assignment workflows, AWS S3 document storage, plagiarism detection, and AI-generated content auditing.
Harvard University (Online)
Strengthened problem-solving skills through C, Python, SQL, algorithms, memory management, and systems-level programming concepts.
Google Solution Challenge • Two-Member Team
Collaborated under strict time constraints to rapidly prototype community support and volunteer coordination features.
Community Relief Platform
Built volunteer coordination workflows and Firebase-powered synchronization systems for resource allocation and crisis support routing.
Market Intelligence Dashboard
Developed a stock analysis platform integrating financial APIs, technical indicators, authentication workflows, and interactive visualization dashboards.
Digital Study Journal
Created a Progressive Web Application (PWA) focused on note-taking, screenshot organization, local-first storage, and customizable notebook experiences.
Retro Digital Photobooth
Built a browser-based photobooth experience using React, Fabric.js, WebRTC, and Canvas APIs featuring Polaroid, Digicam, and Film Strip layouts, interactive stickers, and high-resolution exports.
Live Site →Incident Intelligence Engine
Building an AI-powered platform that transforms raw incident reports into structured postmortems, root cause analysis, timelines, impact assessments, and operational recommendations.
Jun 2026–Present
Natural Language Processing & LLM Systems
Actively studying NLP pipelines, embeddings, tokenization, retrieval systems, prompt engineering, and applied machine learning workflows.
Jun 2026–Present
GitHub PRs & Community Development
Contributing bug fixes, feature enhancements, issue resolutions, testing improvements, and documentation updates across open-source repositories.
In Progress • Google
Developing practical knowledge of regression models, neural networks, model evaluation, feature engineering, and machine learning fundamentals.
Upcoming Engineering Goals
A textual status log kept to capture current engineering focus.
Core guidelines I follow when architecting and building software.
Designing self-documenting, type-safe REST endpoints that make frontend integrations smooth and intuitive.
Optimizing relational database schemas, query indexing, and backend caching routines to handle active traffic load.
Framing UI features for speed, utility, and lightweight load metrics, prioritizing direct problem-solving.
Seeking a deep, fundamental domain understanding of machine learning algorithms, cloud pipelines, and systems code.
I'm always open to discussing software engineering, AI systems, backend development, and open-source projects. Drop me an email or check my networks below.