Abhishek Mishra

Software Developer | AI/ML Enthusiast
Lucknow, IN.

About

Highly motivated 4th-year Computer Science undergraduate with a strong foundation in Data Structures & Algorithms, web development, and AI/ML. Proven ability to design and implement innovative technical solutions, develop responsive web applications, and build machine learning models with high accuracy. Eager to leverage strong analytical and problem-solving skills to contribute to challenging software development or AI/ML engineering roles.

Education

Rajkiya Engineering College Azamgarh
Azamgarh, Uttar Pradesh, India

Bachelor of Technology

Computer Science & Engineering

Grade: CGPA: 8.64

Lucknow Public College Amarpali Yojna
Lucknow, Uttar Pradesh, India

Class XII

Higher Secondary Education

Grade: Percentage: 91.2

Lucknow Public College Amarpali Yojna
Lucknow, Uttar Pradesh, India

Class X

Secondary Education

Grade: Percentage: 91.6

Awards

Event Organizer, Optimix Club

Awarded By

Rajkiya Engineering College Azamgarh

Recognized for successfully organizing events within the Optimix Club, demonstrating strong leadership and organizational capabilities.

Certificates

Python Advance Level
C++ Beginner to Advance

Issued By

Udemy

Short-term Training Program

Issued By

ARS Technologies (via Oual-Net)

Skills

Languages

Java, C, C++, Python, AI-ML.

Databases

MySQL, SQLite, SQL.

Web Technologies

JSP (Basic), Servlets (Basic), HTML5, CSS3, JavaScript.

Version Control

Git, GitHub.

Programming & DSA

Competitive Programming, Data Structures (Arrays, Trees, Graphs), Algorithms (Sorting, Searching, Dynamic Programming).

Frameworks

Django, Angular, MERN Stack.

Projects

Banking Management System

Summary

Developed a console-based banking application featuring account creation, deposit/withdrawal, balance inquiry, and transaction history, utilizing SQLite for persistent data storage and Git for version control.

Mental Health Detection

Summary

Designed and implemented a machine learning model to analyze user inputs (text/speech) for early detection of mental health issues like depression and anxiety, utilizing NLP techniques and classification algorithms to predict emotional states with high accuracy.

Library Management System

Summary

Developed a responsive web-based Library Management System using HTML5, CSS3, and JavaScript, enabling efficient book tracking, borrowing, and returning, and providing a user-friendly interface for librarians and patrons to manage library resources.