A machine learning focused developer with a strong foundation in backend systems, OOP, and scalable application design. Experienced in building end-to-end applications with secure authentication (Firebase) and real-time data systems. Skilled in Python and Java, with a growing focus on ML systems, data pipelines, and deployment using cloud and containerized environments. Actively building projects that integrate AI with production-ready backend infrastructure.

Shashwat.js

const shashwat = {
  pronouns: "he" | "him",
  nationality: "India",
  code: ["JavaScript", "HTML", "CSS", "Python", "Java", "C", "C++"],
  tools: ["React", "Node.js", "Next.js", "Firebase", "Figma"],
  building: "to be revealed...",
};

• Supervised Learning (Classification, Regression)
• Feature Engineering & Data Preprocessing
• Model Evaluation (Precision, Recall, F1, Confusion Matrix)
• NLP & Video-Based AI Systems
• Experimentation & Reproducibility Practices

• Python – ML pipelines, data processing, model deployment
• Java – OOP, backend systems, scalable architecture
• C++ – Performance-oriented programming fundamentals
• JavaScript – Frontend integration & API communication
• Kotlin – Android fundamentals

• Frontend: React, Next.js, HTML5, CSS3
• Backend: Node.js, REST APIs
• Authentication & Data: Firebase Auth, Firestore

• Model Serving & Inference APIs
• Dockerized Applications
• Stateless Service Architecture
• Structured Data Pipelines

• Docker
• AWS (Compute & Deployment Fundamentals)
• Google Cloud (Core Services Exposure)
• Git & Version Control

• Figma (UI/UX Prototyping)
• Developer Tooling & Terminal Workflows

• Sound Engineering – Certified
• UI/UX Design – Certified (Great Learning)
• Generative AI – Google (Great Learning, Dec 2023 · Exp. Dec 2023)
• Skills: Software Testing, Mobile Application Design, UI/UX Design, Web Design, Graphic Design
• Back-end Frameworks and APIs – LNT Group (Mar 2024 · Exp. May 2024) -Skills: ASP.NET Web API Software Design and Development – Infosys (Issued Oct 2024) Skills: OOP, Software Development, Software Design

• Stage Management – Leadership role in University-level Club (Christ University)

Looking to collaborate on:

• Scalable backend architectures

• Cloud-native applications

• Design system implementations

• AI/ML integration projects

• Available for: Documentation, Collaborations, Hackathon partnerships.

Machine Learning Engineer | Scalable AI Systems

🔹 ML systems: (CV, NLP) + data pipelines
🔹 End-to-end: training → deployment
🔹 Backend & Cloud: Python, Flask, Node.js, Docker, AWS
🔹 Projects: Traffic AI, Video Summarizer, AI Assistants

Designing and deploying real-world AI systems with focus on correctness, scalability, and measurable performance.