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Final-Year B.Tech AI Student • Open for Roles

Prashant Kumar

AI/ML Engineer | Backend Developer

"Building intelligent machine learning systems and scalable backend applications."

Specializing in Python, FastAPI, Django, REST APIs, and Machine Learning. Experienced in designing end-to-end ML pipelines, real-time stream processing, and production-ready backend systems.

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PK

Prashant Kumar

AI/ML Engineer & Backend Developer

Shamli, Uttar Pradesh, India

Python FastAPI Django XGBoost Kafka
5+ ML Projects
15+ Tech Stack
7.86 CGPA

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About Me

Technical summary, background, and engineering focus

Engineered for Scalability & Algorithmic Rigor

Final-year B.Tech Artificial Intelligence student with hands-on experience in Machine Learning, backend development, REST APIs, and software engineering. Experienced in building AI-based systems and backend applications using Python, FastAPI, Django, Node.js, and modern ML technologies.

Degree: B.Tech in Artificial Intelligence

University: University of Lucknow (2022–2026)

Academic Score: CGPA 7.86 / 10

Location: Shamli, India

Email: prashantkumar1891pk@gmail.com

Focus Areas: AI/ML, Backend APIs, DSA

Machine Learning Systems REST API Engineering Algorithmic Problem Solving Clean Architecture
Download Resume

Professional Experience

Practical industry experience and backend engineering internship

Internship

Backend Intern

YBI Foundation

Jun 2025 – Aug 2025
Python Backend Logic & Data Processing Code Quality & Debugging
Developed Python-based backend functionality for assigned development tasks.
Implemented backend logic and data-processing functionality using Python.
Debugged, tested, and improved code to ensure correct functionality.

Technical Skills

Technologies, frameworks, databases, and engineering tools

Languages

Python JavaScript SQL

Backend Development

FastAPI Django REST APIs Node.js Express.js JWT bcrypt

Machine Learning

Scikit-learn XGBoost OpenCV Computer Vision Pandas NumPy k-NN SVM Logistic Regression TF-IDF Cosine Similarity

ML Engineering

MLflow SHAP Optuna Kafka Model Monitoring

Databases

MySQL MongoDB SQLite H2

Frontend & Web

React Redux HTML5 CSS3 JavaScript (ES6+)

Tools, Platforms & Ecosystem

Git
GitHub
Docker
Postman
Jupyter
Google Colab
Streamlit
Render / Vercel

Featured Projects

Real-world AI/ML pipelines, recommendation engines, and full-stack backend systems

Flagship AI/ML Pipeline

Real-Time Fraud Detection Pipeline

PR-AUC 0.91

High-throughput Streaming Fraud Detection & Inference System

Problem: Detecting rare fraudulent transactions (0.17% fraud rate) in real-time high-imbalance financial streams without overwhelming manual review teams with false positives.

Pipeline Architecture:
Transaction ➔ Kafka ➔ Stream Proc. ➔ XGBoost ➔ FastAPI ➔ Monitoring
0.91 PR-AUC
87% Recall
79% Precision
284K Transactions
Python XGBoost FastAPI Kafka Docker MLflow SHAP Optuna Streamlit
GitHub Repo

CinePro — AI Movie Recommendation

87% Top-5 Acc

Python • Scikit-learn • Pandas • Streamlit • TF-IDF

Content-based recommendation engine powered by TF-IDF vectorization and cosine similarity over a corpus of 5,000+ movies.

5,000+ Movies 87% Accuracy TF-IDF Matrix
  • Processed 5,000+ movie metadata records using TF-IDF feature extraction.
  • Engineered pairwise Cosine Similarity calculation for instant top-5 recommendation generation.
  • Built clean interactive web UI with Streamlit for low-latency query filtering.
GitHub Repo

TaskFlow — Team Task Manager

+35% Visibility

Node.js • Express.js • SQLite • JWT • bcrypt • HTML/CSS

Full-stack collaborative task management platform with role-based access control, JWT authentication, and interactive Kanban boards.

15+ REST APIs 50+ Test Users Render Deployed
  • Designed 15+ secure REST API endpoints with JWT auth and bcrypt password hashing.
  • Implemented Role-Based Access Control (RBAC) for team leads and team members.
  • Built interactive Kanban dashboard improving project visibility by 35%.
GitHub Repo

Crop Recommendation System

Live

Python • Django • Scikit-learn • Pandas • SQLite

Django-powered agricultural decision support system predicting 22 crop classes using 7 soil and weather factors.

22 Crop Classes 2,200+ Records Vercel Live
  • Trained classification models on 2,200+ agricultural data points across N, P, K, pH, rainfall, temp & humidity.
  • Engineered Django web service with forms, ORM models, prediction pipelines, and responsive UI.
  • Deployed live production web app on Vercel with real-time inference capabilities.
Open Live App Repo

ShopSphere — E-Commerce

Live

Python • Django • SQLite • HTML • CSS • JavaScript

Full-featured Django e-commerce portal supporting customer authentication, catalog browsing, cart operations, and order tracking.

15+ Features 10+ Models Render Live
  • Architected 10+ relational models and 15+ CRUD workflows via Django ORM.
  • Built customer checkout, product filter/search, cart persistence, and admin inventory portal.
  • Deployed production deployment live on Render with database migrations and security headers.
Open Live App Repo

Face Recognition Attendance System

Live

Python • OpenCV • Computer Vision • Flask • SQLite • JavaScript

"AI-powered contactless attendance tracking using real-time face recognition."

Real-Time Detection Auto Attendance Vercel Live
  • Live Face Detection: Real-time webcam-based face detection and recognition.
  • Automatic Attendance: Automatic login/logout time recording & working-hours calculation.
  • Admin Dashboard: Employee registration (CRUD), management & attendance history.
Live Demo GitHub

Achievements & Key Metrics

Technical milestones, project statistics, and professional profiles

5+

ML & AI Projects

15+

Tech Stack Tools

4

Certifications

7.86/10

Academic CGPA

Professional Profiles

Open Source

GitHub

Username: Prashantk0000

Repos & ML Projects
Active Commits
View Profile ➔
Network

LinkedIn

Prashant Kumar

Professional Profile
Networking
View Profile ➔

Education & Coursework

Academic degree, university details, and computer science foundations

Bachelor of Technology (B.Tech)

Artificial Intelligence

University of Lucknow

2022 – 2026
CGPA: 7.86 / 10

Pursuing a specialized engineering curriculum focusing on Machine Learning algorithms, Data Structures & Algorithms, Artificial Intelligence, Database Management Systems, Operating Systems, and Computer Networks.

Core Computer Science Coursework:
Data Structures & Algorithms
Operating Systems
Database Management Systems
Computer Networks
Machine Learning & AI
Object Oriented Programming (Python)

Certifications & Credentials

Verified certifications from leading tech organizations

2025

Samsung Innovation Campus

AI Training Program

Completed practical AI training covering artificial intelligence concepts, machine learning algorithms, and real-world AI applications.

2025

OCI 2025 Data Science Professional

Oracle Cloud Infrastructure

Professional certification validating expertise in cloud-based data science workflows, model building, and machine learning deployment on OCI.

2025

OCI 2025 AI Foundations Associate

Oracle Cloud Infrastructure

Foundational certification covering essential AI/ML principles, natural language processing, and Oracle Cloud AI services.

April 2026

Deloitte Technology Job Simulation

Forage

Completed virtual experience simulation tasks in technology analysis, software proposals, and development best practices.

2026

J.P. Morgan Software Engineering Simulation

Forage

Completed virtual software engineering simulation focusing on interface setups, data stream visualization, and algorithmic tasks.

Get In Touch

Let's connect for opportunities in AI/ML Engineering & Backend Development

Let's build something intelligent & scalable.

I am actively looking for full-time entry-level roles, internships, and engineering opportunities in AI/ML and Backend Development.

Location Shamli, Uttar Pradesh, India
Education B.Tech AI (2022–2026), Univ. of Lucknow
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