Streaming Web App
StreamSathi.com
↗A high-performance modern web media and live streaming application. Features responsive video playback, synchronized user watch rooms, dynamic UI components, and API connect pipelines.
Available for AI / ML Roles & Engineering Internships • SRM AP CSE (AI & ML)
Architecting Intelligent Systems
From Neural Weights to Scaled Code.
Hi, I'm Aayush Kumar — an AI & Machine Learning engineer pursuing B.Tech in CSE (AI & ML) at SRM University AP. Building high-performance deep learning models, intelligent agent architectures, and full-stack web applications.
Core Ecosystem:
C
C++
Java
Python
HTML5
CSS3
JavaScript
Machine Learning
Data Analytics
Hugging Face
Deep Learning
Deployment
React.js
Next.js
API Connect
SRMAP Lab
SQL
Excel
MongoDB
/ Engineering Methodology
Here's how it works
Bridging fundamental algorithmic logic, machine learning mathematics, and full-stack software development into high-impact applications.
01
Discover & Analyze
Exploratory data analysis, SQL schema design, mathematical formulation, and identifying optimal algorithmic constraints in C, C++, and Python.
02
Architect & Train
Developing intelligent models using Hugging Face & Deep Learning frameworks, structuring reactive React/Next.js frontends, and connecting robust RESTful APIs.
03
Deliver & Scale
Containerization, production cloud deployment on Vercel, automated CI/CD pipelines, and rigorous performance stress-testing at SRMAP Lab.
“
"Working with Aayush on software architecture and AI projects at SRM AP was seamless from start to finish. His intuition for full-stack engineering, rapid prototyping, and clean database schemas is top-tier."
“
"Aayush brought our project prototypes like StreamSathi and SmartScheduler to life with exceptional speed. His mastery spanning C++, Python, Next.js, and MongoDB makes him a rare versatile technologist."
/ Best Projects
Selected Works
Directly from my active open-source portfolio — engineered with modern web frameworks, intelligent scheduling algorithms, and scalable databases.
Streaming Web App
Full-Stack Application
Food Delivery System
↗End-to-end food ordering and logistics management platform. Features customer menu browsing, real-time cart state management, checkout verification, and order lifecycle database tracking.
SMARTSCHEDULER ENGINE • OPTIMIZER ACTIVE
0.4ms CONVERGENCE
Task Queue: 100% Resolved
Conflict Matrix: 0 Collisions
SmartScheduler
↗Intelligent scheduling and time-allocation system. Employs priority queues, constraint satisfaction heuristics, and machine learning methods to resolve scheduling conflicts seamlessly.
STUDENTS: 4,200+
SQL QUERIES: OPTIMIZED
RECORDS: 100% SYNCED
Student Information System
↗Robust academic management platform designed to store, manage, and analyze student academic records, GPA metrics, course enrollments, and institutional reports via SQL and Excel analytics.
/ Technical Arsenal
Core Ecosystem & Skills
A comprehensive overview of programming languages, machine learning frameworks, data analytics tooling, and full-stack web technologies I use daily.
Core Programming Languages
High-performance compiled and interpreted languages for algorithmic problem-solving and software systems.
Machine Learning & Data
Neural architectures, deep learning models, transformer fine-tuning, and statistical data analytics.
Web, Databases & Deployment
Modern interactive web frameworks, API connectors, distributed databases, and production hosting.
/ Interactive Experience
Live AI Inference Lab
Interact with Aayush's simulated model inference pipeline right in the browser. Test token throughput, benchmark latency, and inspect model architecture telemetry.
aayush-ai-runtime v3.4 — cuda-enabled [SRM-AP-NODE-01]
ONLINE
Activation Energy Waveform
Streaming...
Inference Latency
14.8 ms
GPU / RAM
2.1 / 16 GB
Throughput
184 tokens/s
[INIT] Initializing execution runtime on SRM-AP-NODE-01...
[READY] Core models loaded (C++, Python, Hugging Face, PyTorch). Ready for benchmark.
> Click "Run Inference Benchmark" to simulate real-time model telemetry.
/ Who Am I
Pushing Boundaries in AI, ML & Systems
SRM University AP
Aayush Kumar
AI/ML Engineer & Full-Stack Developer
🗣️ Communication & Languages
English
C2 Level (Proficient)
Hindi
Native / Fluent
Nepali
Native / Fluent
Maithili
Fluent
Bhojpuri
Fluent
Haryanvi
Fluent
I am a Computer Science & Engineering undergraduate at SRM University AP, specializing in Artificial Intelligence & Machine Learning. My engineering spans algorithmic problem-solving in C/C++, full-stack web applications with React and Next.js, and training intelligent deep learning pipelines with Hugging Face.
From architecting media streaming platforms like StreamSathi.com to designing algorithmic constraint solvers like SmartScheduler, I love building systems that balance low-level computational efficiency with elegant user interfaces.
AI & Software Engineering Intern
Next-Gen Computing Lab, SRM AP
2024 → Now
Full-Stack & ML Contributor
Developer Student Club, SRM AP
2023 → 2024
Systems & Competitive Programming
C / C++ & Algorithmic Problem Solving
2023 → 2024
B.Tech in CSE (AI & ML)
SRM University Andhra Pradesh
2022 → 2026
0
Core Technologies Mastered
0
Featured Open-Source Repos
0
Spoken Languages (C2 English)
0
% Passion & Execution
/ Get In Touch
Start a Conversation
Have a project, role opening, or research idea? Drop a message or copy my direct email.
Direct Contact
I typically reply promptly. Looking forward to discussing exciting engineering frontiers.
aayushkumaryadav2063@gmail.com