Lucknow, India | B.Tech CSE (AI & ML) student

Harsh Misra

B.Tech Computer Science student specializing in Artificial Intelligence and Machine Learning, with hands-on experience in OCR, NLP, data analytics, and cloud fundamentals. I build practical applications that combine technical depth with measurable usability.

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85-90% OCR accuracy range
Bilingual Hindi and English extraction
API-ready FastAPI docs and deployment flow
Professional profile
Portrait of Harsh Misra
AI and ML portfolio Focused on practical systems, clear communication, and internship-ready project delivery.
About me

Building practical systems, not just assignments.

I am pursuing a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning at R.R. Institute of Modern Technology, Lucknow.

My strongest work sits at the intersection of problem solving and usability, whether that means extracting text from documents, analyzing student feedback, preparing data, or building interfaces that make technical solutions easier to use in real settings.

81%

Current academic score

90%

Feedback model accuracy

80%

Manual review effort reduced

Practical experience

Hands-on development across AI, cloud, and structured problem solving.

Applied AI projects

OCR and NLP application development

Built academic and self-driven projects using Python-based tools to solve text extraction, preprocessing, sentiment analysis, and backend workflow problems.

  • Worked with FastAPI, Scikit-learn, OpenCV, Tesseract, and MySQL.
  • Focused on model accuracy, preprocessing quality, and clear project structure.
  • Turned classroom concepts into demonstrable working applications.
Python NLP Machine Learning

Cloud foundations

Deployment and platform readiness

Strengthened cloud and deployment fundamentals through OCI certifications, Docker packaging, and project delivery workflows prepared for public sharing.

  • Built familiarity with cloud concepts, deployment flow, and API presentation.
  • Prepared project artifacts such as documentation and portfolio-ready summaries.
  • Connected development work with practical delivery expectations.
Oracle Cloud Docker APIs

Analytical thinking

Problem solving with product awareness

I approach projects with a balance of algorithmic thinking, system structure, and user-facing clarity so that solutions remain both technically sound and easy to explain.

  • Practiced DSA and logic-heavy problem decomposition.
  • Used chess and algorithmic work to strengthen decision-making discipline.
  • Prefer measurable improvements over purely conceptual builds.
DSA Data Analytics Strategy
Core skills

Technical strengths I use most often.

Python
Java
C
JavaScript
HTML
CSS
Machine Learning
NLP
Data Analytics
Oracle Cloud
Git
DSA
Current focus

Areas I am actively deepening.

Document intelligence OCR preprocessing, extraction quality, and bilingual text workflows.
NLP pipelines Text cleaning, feature engineering, sentiment analysis, and model evaluation.
Backend delivery FastAPI services, API structure, and practical project packaging.
Cloud readiness OCI fundamentals, deployment concepts, and portfolio-ready technical presentation.
Selected work

Projects backed by outcomes and implementation detail.

OCR API

OCR Document Scanner

FastAPI OCR system with OpenCV preprocessing, Hindi and English extraction, Docker packaging and deployed API docs.

Image cleanup before text detection
Bilingual Hindi and English OCR
Docker-ready backend packaging
Interactive API docs for testing
  • Reached 85-90% text extraction accuracy on project testing.
  • Added preprocessing to improve document readability before OCR.
  • Supported both Hindi and English text extraction workflows.
2 supported languages
API browser-friendly docs
Docker deployment-ready build
FastAPI OpenCV Tesseract
View repository
NLP + ML

Emotion Feedback Portal

Student feedback analyzer using NLP preprocessing, TF-IDF and sentiment classification to reduce manual review effort.

  • Achieved 90% model accuracy on the classification workflow.
  • Reduced manual review effort by 80% through automated analysis.
  • Combined preprocessing, TF-IDF vectorization, and sentiment classification.
Python Scikit-learn MySQL
Request walkthrough
Logic

Smart Chess AI

Chess engine experiment using Minimax and Alpha-Beta pruning for move prediction, planning and game analysis.

  • Implemented Minimax with Alpha-Beta pruning for efficient move search.
  • Explored evaluation logic, decision trees, and planning depth.
  • Used the project to strengthen algorithmic thinking and strategy design.
DSA Minimax Strategy
Discuss implementation
Credentials

Education and certifications that support the work.

Education

B.Tech - Computer Science & Engineering (AI & ML) R.R. Institute of Modern Technology, Lucknow

2024-2028 | Current score: 81%

Intermediate New Public Inter College, Lucknow

2024 | Score: 85%

High School Stella Maris Inter College, Lucknow

2022 | Score: 83%

Certifications

  • Oracle Cloud Infrastructure 2025 Certified Foundations Associate
  • Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
  • Career Essentials in Generative AI - Microsoft and LinkedIn Learning
  • Career Essentials in Data Analysis - Microsoft and LinkedIn Learning
  • Cybersecurity Analyst Job Simulation - Tata Group (Forage)
  • TCS iON Career Edge - Young Professional
  • TCS iON Career Edge - IT Primer
Contact

Open to internships, collaborations, and entry-level opportunities.

I am especially interested in AI engineering, data analytics, OCR and NLP applications, and cloud-enabled product development. The fastest way to reach me is by email or LinkedIn.

Email: harsh4469stella@gmail.com GitHub: github.com/HarshMisra1102 LinkedIn: linkedin.com/in/harshmisra-6aa25031b