Eshwar Sharma

[email protected] • 8660957360 • Mysore, IN

PROFESSIONAL SUMMARY

A passionate C++ programmer with a strong foundation in data structures, algorithms, and system-level thinking. Skilled at solving real-world problems through scalable backend solutions and collaborative project work. Enthusi- astic about building robust systems, learning cutting-edge technologies, and continuously improving through coding challenges and hands-on development.

EDUCATION

BE Information science and Engineering
10/2023 - 08/2027
JSS Science and Technology University , Mysuru, IN
Pre University (82.5%)
05/2020 - 06/2022
Sri Sharada PU College , Koppal, IN GPA: 82.5%

SKILLS

Technical Skills: C++, Java, Data Structures, Algorithms, Machine Learning, Web Development, MySQL, Operating Systems
Soft Skills: Problem Solving, Team Collaboration, Adaptability, Critical Thinking, Attention to Detail
Tools: Git, Docker, Visual Studio, Postman, CSS, Tailwind
Other: Machine Learning Certification, Agile Methodology, Public Speaking, confidence

PROJECTS

AI-Powered Travel Planner Web App
Technologies: React.js, OpenAI API, Tailwind CSS, AI prompt engineering, JSON parsing
• Developed an AI-powered travel planner web app using React.js and OpenAI API to generate personalized itineraries based on destination, budget, trip duration, and group type
• Designed a responsive UI with Tailwind CSS and implemented AI prompt engineering & JSON parsing to convert natural language responses into clean, day-wise travel plans with tips
Green Corridor For Emergency Vehicles
Technologies: GPS, Routing algorithms, IoT, WebSocket, MQTT
• Developed a Smart Green Corridor system using real-time GPS, routing algorithms, and live traffic data to dynamically control traffic signals for faster and safer ambulance movement
• Integrated IoT-based signal automation with WebSocket/MQTT communication, enabling conflict-free signal switching, safety clearance timing, and optimized emergency routing
Deepfake audio detection system
Technologies: MFCC, PyTorch, FastAPI, JavaScript, REST API
• Built a real-time deepfake audio detection system using MFCC feature extraction and a lightweight PyTorch neural network to classify real vs synthetic speech with high accuracy
• Developed an end-to-end pipeline with FastAPI backend and JavaScript frontend, enabling audio upload/recording, waveform visualization, and instant inference via REST API

CERTIFICATIONS

Data Structures and Algorithms in C++.
06/2025
UDEMY
Volunteer at U&I (NGO)
U&I
Active member of Pehchan (College Fashion Club):
PEHCHAN