Manish Sonawane

Aspiring Web Developer | AI/ML Engineer

Pune, IN.

About

Aspiring Web Developer and AI/ML Engineer with a strong foundation in full-stack development and artificial intelligence. Proven ability to design and deploy scalable systems, optimize processes, and build intelligent solutions, as demonstrated by reducing CRM processing time by 40% and achieving 90% accuracy in an AI-powered fake news detection system. Eager to leverage expertise in React.js, Node.js, MongoDB, and deep learning frameworks to contribute innovative solutions in dynamic tech environments.

Work

CANDENT TECHNOLOGIES PVT. LTD.

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WEB DEVELOPMENT INTERN

Pune, Maharashtra, India

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Summary

Designed and deployed a scalable full-stack CRM, implementing robust authentication and real-time communication features to enhance operational efficiency for clients.

Highlights

Designed and deployed a scalable full-stack CRM for over 1000 clients, streamlining lead and opportunity management by achieving a 40% reduction in processing time.

Implemented JWT-based authentication and role-based access control for 50+ users, ensuring secure data access and management.

Built real-time communication features, significantly improving team response time by 30% across internal operations.

Education

VISHWAKARMA INSTITUTE OF INFORMATION TECHNOLOGY

Pune, Maharashtra, India
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B.Tech Computer Engineering Grade: 8.49/10 CGPA

Courses

Data Structures and Algorithms

Object-Oriented Programming

Database and Management System

Computer Networks

Operating Systems

ASC COLLEGE, CHOPDA

Chopda, Maharashtra, India
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HSC Science (HSC Boards) Grade: 88.50%

Awards

3rd Place at CodeForge 2.0

PICT Pune

Secured third position in a competitive coding event, demonstrating strong algorithmic and problem-solving skills.

Internal Hackathon for Smart India Hackathon 2024 Winner

Vishwakarma Institute of Information Technology

Won a highly competitive internal hackathon among 230+ teams, showcasing innovative solution development and teamwork.

Publications

Sports Video Summarization using Deep Learning Techniques

International Conference Proceedings, SIT, Tumakuru

Authored and published a research paper detailing innovative deep learning techniques for sports video summarization, presented at an international conference.

Languages

English

Certificates

Deep Learning Fundamentals

NVIDIA

VMDR, EDR, and PCI Compliance

Qualys

Skills

Databases

MySQL, MongoDB, Firebase.

Programming Languages

Java, Python, C, C++, JavaScript.

Frameworks & Libraries

React.js, Node.js, Express.js, Redux, TailwindCSS, Flask, CrewAI, DeepSeek R1, Llama Vision.

Development Tools & Platforms

Git/GitHub, VS Code, PyCharm, IntelliJ, Eclipse, Figma, Postman, Linux, Cloudinary, Google Fact Check, Serper.

Professional Skills

Team Player, Solution-Driven, Goal-Oriented, Learning Enthusiast.

Interests

Competitive Programming

Codeforces (Global Rank 2895 in Round 966 Div. 3), LeetCode (1780+ rating), Codechef.

Professional Organizations

Association for Computing Machinery (ACM), CodeChef VIIT Chapter 2024, Entrepreneurship Development Cell.

Projects

VISHWAPRENUER : E-SUMMIT WEBSITE

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Summary

Developed a full-stack E-Summit platform with real-time updates and interactive schedules, featuring robust user management and authentication.

SATYA.AI

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Summary

Engineered an AI-powered fake news detection system and a scalable React frontend with a Telegram bot for credibility scoring and image analysis.