Priya Diwakar
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in AI/ML & Java Development
Computer Science undergraduate specializing in Artificial Intelligence and Data Science with strong skills in full-stack and backend development. Experienced in building scalable web applications, RESTful APIs, and AI-powered systems using React.js, Flask, Node.js, Spring Boot, MongoDB, and SQL. Proficient in Python, Java, and JavaScript with hands-on experience in API integration, Git/GitHub, Docker, and database management. Built multiple end-to-end projects involving real-time processing, backend workflows, and responsive user interfaces. Solved 300+ DSA problems on LeetCode with a strong understanding of Data Structures Algorithms, OOPs, DBMS, and Operating Systems. Passionate about building high-performance software solutions and contributing effectively in Agile development environments.
Chandigarh Group of Colleges, Jhanjeri
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2023 – June 30, 2027
Sarvodaya Sr. Secondary School, Khanpur Khurd
Class XII
June 1, 2021 – May 31, 2022
Upkar High School, Khanpur Khurd
Class X
June 1, 2019 – May 31, 2020
AI Projects & Training
AI Projects & Training Experience
July 1, 2025 – August 1, 2025
India
Java Development
Java Development Experience
January 1, 2024 – April 1, 2024
India
AI Voice Agent Murf AI
January 1, 2025 – August 1, 2025
Developed an AI-powered voice interaction system for dynamic speech generation using Murf AI APIs. Implemented an end-to-end workflow including text input processing, voice selection, audio generation, and playback handling. Integrated REST APIs and managed JSON-based data communication for seamless backend interaction and optimized response flow. Designed an interactive and user-friendly interface to ensure smooth real-time voice interactions and improved user experience.
View ProjectEcho Weave AI Voiceover Generator
January 1, 2025 – July 1, 2025
Built an AI-powered voiceover system for silent videos using REST APIs and Murf API (TTS) with efficient HTTP handling. Designed a scalable backend pipeline (Python, MoviePy) for audio-video synchronization and automated script-to-audio conversion. Optimized synchronization logic to reduce processing time and improve accuracy with real-time preview functionality.
Student Management REST API
February 1, 2024 – February 1, 2024
Developed REST APIs using Java and Spring Boot with CRUD operations and MySQL integration. Integrated external APIs using JSON and HTTP with proper validation and exception handling. Performed API testing using Postman and handled error debugging to ensure reliability
View ProjectFull Stack Development with MEAN
NASSCOM Foundation (thingQbator)
June 1, 2026 – Present
AI Voice Agent (30-Day Challenge)
Murf AI
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's involvement in GFG Chapter, participation in hackathons, and completion of personal projects demonstrate initiative, a proactive learning attitude, and a passion for technology. The diverse project portfolio, including both AI-focused and traditional backend development, suggests adaptability and a willingness to explore different technical domains. This indicates a good potential cultural fit for a dynamic and innovative environment, though the experience level is entry-level.
Soft Skills & Operational Fit
The candidate lists communication, leadership, teamwork, time management, and analytical thinking as soft skills. Project descriptions indicate an ability to work on end-to-end workflows and integrate various technologies, suggesting a capacity for operational execution. However, without direct interview data, the depth of these soft skills and their application in a team setting cannot be fully assessed.