Shashwat.! Shashwat-19

Machine Learning Engineer | Scalable AI Systems | MLOps & Deployment

👨‍💻 About Me

I’m a Machine Learning Engineer focused on designing and deploying scalable AI systems. My work spans the full ML lifecycle from data collection and preprocessing to model development (Computer Vision, NLP) and production deployment using Python, Flask, Docker, and cloud platforms.

I’ve built systems such as real-time traffic classification using live APIs, AI video summarization with transcription pipelines, and intelligent data-driven applications, with a strong emphasis on model performance, system scalability, and reliable deployment.

📍 Based in Bangalore, India

The city I built this year

_{Every building is a day; taller means more contributions.}

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Shashwat.js

const shashwat = {
  pronouns: ["he", "him"],
  nationality: "India",
  location: "Bengaluru",
  education: "BCA (Hons), CHRIST (Deemed to be University)",
  languages: ["Python", "TypeScript", "JavaScript", "Java", "C++", "SQL"],
  ml: ["TensorFlow", "Keras", "PyTorch", "YOLO", "OpenCV", "BLIP-2"],
  backend: ["FastAPI", "Node.js", "Express", "REST APIs"],
  frontend: ["React", "HTML", "CSS"],
  data: ["PostgreSQL", "MongoDB", "Supabase"],
  infra: ["Docker", "AWS", "Git"],
  building: [
    "Adaptive keyframe selection for video captioning (MSVD)",
    "TrafficSense AI: Bangalore traffic monitoring on AWS",
    "YOLO-based ANPR for Indian number plates",
  ],
  learning: ["NumPy", "pandas", "Stanford CS229"],
  goal: "ML engineer, then my own ventures",
};

🚀 Skills & Technologies

🧠 Machine Learning & AI

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

💻 Programming

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

🌐 Full-Stack Development

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

⚙️ ML Engineering & Infrastructure

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

☁️ Cloud & DevOps

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

🎨 Design & Workflow

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

🏅 Certifications & Leadership

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

Leadership

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

🎯 Focus

Building production-grade AI systems that integrate clean backend architecture with practical machine learning.

Interested in:

ML system design & deployment
Backend-heavy AI applications
Scalable, real-world problem solving

📩 Contact

Shashwat

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

🚀 AI Systems | Production-Grade Intelligence

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

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