HARSH
Authenticated web apps, geospatial analysis, deployment-ready ML inference. B.Tech CS · 3 internships · React, Node.js, Python, PyTorch. Open to software engineering internships.
Quick Facts
Recruiter snapshot.
Name
Harsh Yadav
Location
Prayagraj, India
Degree
B.Tech, Computer Science
Current Academic Year
3rd Year
Primary Technologies
Python, PyTorch, React, TypeScript, FastAPI, PostgreSQL
Internship Experience
2 completed · 3 total — full-stack, cybersecurity, Python/ML
Areas of Interest
AI-powered products · Full-stack web applications · Scalable backend systems · Applied machine learning
Currently Exploring
AI Applications
ML features and GenAI-assisted workflows in production apps.
Full Stack Systems
End-to-end delivery: React, Node.js, API-first architecture.
Scalable Architecture
Auth flows, data layers, and services beyond demo scope.
Modern Web Engineering
TypeScript, component design, performance-minded frontend patterns.
Full resume available
Experience, education, certifications, projects.
Impact
Counts derived from resume entries, GitHub repositories, and education dates.
Featured Projects
Resume
One PDF with three internships, full-stack and ML projects, technical skills, and software engineering experience.
Experience
Full Stack Development Intern
Feb 2026 – Mar 2026VibeOps (Remote)
Full-stack features in React, Node.js, REST APIs, and PostgreSQL. Figma-to-code UI workflows. GenAI tooling (Cursor, Copilot) for speed without sacrificing modular, production-oriented code.
Python Programming Intern
May 2025CodeAlpha (Remote)
Python/ML preprocessing pipelines in Pandas and NumPy—feature engineering and dataset transformation. Trained supervised and unsupervised Scikit-learn models for predictive analysis on structured data.
Cybersecurity Intern
Jun 2025Prodigy Infotech (Remote)
Vulnerability assessments and manual penetration testing on web apps. Documented critical flaws, risk findings, and mitigation strategies.
Education
Bachelor of Technology, Computer Science
Oct 2023 – Oct 2027United College of Engineering and Research — Prayagraj, India
CGPA 7.60/10. Coursework: DSA, ML, System Design, DBMS, Networking—applied in full-stack and ML projects.
Certifications & Achievements
Oracle Cloud Infrastructure 2025 AI Foundations Associate
Nov 2025Oracle
Full Stack Web Development
Dec 2025 – PresentGeeksforGeeks
Achievements & Activities
- Codefront 2.0 Hackathon — Team Logic Lords (GDG On Campus).
- Elite Coders Winter of Code (ECWoC) — open source among 5000+ participants.
- DRISHTI: Annual Youth Dialogue 2026 — Hindu College, University of Delhi.
- Renaissance-Techspan 2026 Participation Certificate.
- DevFest 2025 (UIT Prayagraj) — hands-on labs on emerging tech.
- Open-source contributor; focus on scalable backends and applied AI/ML.
- Interests: competitive coding, game development, AI research.
Skills
About
CS undergrad building from concrete problems—job tracking, geospatial raster alignment, trade P&L reconciliation—using PyTorch, React, and Node.js as each problem requires.
Three internships (full-stack, cybersecurity, Python/ML) reinforced API boundaries, safe auth, and reproducible training paths. Focus: backend and model decisions in shipped software, not demos.
Experience
Full Stack Development Intern
VibeOps (Remote)
Cybersecurity Intern
Prodigy Infotech (Remote)
Python Programming Intern
CodeAlpha (Remote)
B.Tech Computer Science
United College of Engineering and Research
Achievements
Credentials, competitions, and community work.
Oracle Cloud AI Foundations Associate
OCI 2025 AI Foundations Associate · Nov 2025
Details in resume
Hackathons
Codefront 2.0 · Team Logic Lords (GDG On Campus)
Details in resume
Open Source
ECWoC participant · 5000+ contributor program
Details in resume
Certifications
2 credentials · Oracle AI + GeeksforGeeks Full Stack
Details in resume
Skills
Full-Stack Engineering
- React.js
- TypeScript
- JavaScript
- HTML5
- CSS3
- Tailwind CSS
- Bootstrap
- Vite
Backend Systems
- Python
- FastAPI
- Node.js
- Express.js
- REST APIs
- JWT Authentication
- C++
AI & Machine Learning
- PyTorch
- Scikit-learn
- TensorFlow
- Deep Learning
- CNNs
- Feature Engineering
- Data Preprocessing
- Model Evaluation
- Predictive Modeling
- Pandas
- NumPy
Data & Databases
- PostgreSQL
- MongoDB
- PostGIS
- SQL
- SQLite
- MySQL
- GeoPandas
- Rasterio
- Shapely
- Leaflet
- STAC APIs
Developer Tools
- Git
- GitHub
- Docker
- Postman
- Figma
How I Build
Engineering principles from student and internship projects.
Frontend Engineering
Performance
Trim bundle size, lazy-load where useful, fix re-renders before adding complexity.
Accessibility
Semantic HTML, labeled forms, keyboard-friendly flows on every UI.
Maintainability
Small components, typed props, consistent patterns for easier extension.
Backend Systems
APIs
REST endpoints with typed shapes, input validation, predictable error codes.
Architecture
Separate routes, business logic, and data access as projects grow.
Reliability
Early input validation, meaningful errors, no silent failures on critical paths.
Databases
Modeling
Schemas shaped around real queries and relationships, not CRUD-mirror tables.
Scalability
Indexes, pagination, and N+1 avoidance on data-heavy features.
Developer Experience
Git
Focused commits, clear messages, branches that simplify review and rollback.
Documentation
README setup, API notes, comments where code alone isn't clear.
Clean Code
Readable names, small functions, refactor when duplication slows progress.
Performance
Optimization
Measure first, then fix bottlenecks; no premature optimization.
Loading Speed
Right-sized assets, code splitting, lean first paint on deployed apps.
Responsiveness
Layouts and interactions that hold across screen sizes without breaking core flows.
Process
Discover
Define the problem, affected users, and constraints before choosing a stack.
Design
Sketch flows, define API contracts, align UI to actual usage.
Develop
Build incrementally with typed APIs, tested auth, code organized for the next change.
Deliver
Ship, verify core paths, note improvements for the next pass.