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AI Engineer with less than a year in Machine Learning & Full-Stack Development
Computer Science student with hands-on experience in Artificial Intelligence, Machine Learning, Deep Learning, Quantum Computing, and Full-Stack Development. Demonstrated ability to build and deploy production-ready AI applications using Python, Streamlit, OpenAI API, and cloud platforms. Led team to 1st place in Amaravati Quantum Valley Hackathon semifinals among 100+ teams. Passionate about leveraging cutting-edge technologies - including Generative AI, NLP, and Computer Vision - to deliver scalable, user-centric software solutions.
PSCMRCET – Potti Sriramulu Chalavadi Mallikharjuna Rao College of Engineering and Technology
Bachelor of Technology · Computer Science Engineering (CSE)
August 1, 2023 – June 30, 2027
Kakarapathi Bhavanarayana College
Intermediate · MPC
June 1, 2021 – May 31, 2023
Geethanjali Public School
Class 10
June 1, 2020 – May 31, 2021
Infosys Springboard
Artificial Intelligence Intern
September 1, 2025 – December 1, 2025
India
Edunet Foundation
AI and Cloud Technology Intern
August 1, 2025 – October 1, 2025
India
SkillDzire
Artificial Intelligence Intern
April 1, 2025 – June 1, 2025
India
AI Chatbot and Dynamic Price Optimization System
September 1, 2025 – November 1, 2025
Developed an NLP-powered chatbot to automate customer query resolution, achieving 90%+ response accuracy across diverse query categories Built a machine learning-based dynamic pricing engine that analyzes market demand signals and adjusts pricing in real time to optimize revenue by up to 20%
Quantum Portfolio Optimization
September 1, 2025 – December 1, 2025
Led Quantum Coders team to 1st place in hackathon semifinals among 100+ teams, recognized by APSCHE, IBM, and TCS; advanced to the Grand Finale Architected and implemented a QAOA (Quantum Approximate Optimization Algorithm)-based portfolio optimization model, demonstrating 15% performance improvement over classical optimization methods Delivered technical presentation to industry experts from IBM and TCS; project received regional media coverage for innovation in quantum computing applications
AI Travel Planner Web Application
August 1, 2025 – October 1, 2025
Built a full-stack AI travel planning system integrating real-time REST APIs for weather forecasting and geolocation services with Generative AI for personalized itinerary creation Deployed application on cloud platform; implemented a Streamlit-based frontend enabling end-users to receive AI-generated travel recommendations with zero manual configuration
Develop GenAI Apps with Gemini and Streamlit
June 1, 2026 – Present
Pragathi Cohort 5 - Training in Python, Artificial Intelligence, Data Science, and Professional Development
Infosys
June 1, 2026 – Present
Quantum Computing and Advanced Physics Program
WISER (BQPhy®)
June 1, 2026 – Present
Java Programming
NPTEL
June 1, 2026 – Present
Prompt Design in Vertex AI
June 1, 2026 – Present
Data Science Methodology
IBM
June 1, 2026 – Present
Gen AI Academy
June 1, 2026 – Present
Artificial Intelligence Fundamentals
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including quantum computing, AI travel planners, and chatbots, shows a broad interest in cutting-edge technologies. Their participation in hackathons and multiple internships indicates a proactive and collaborative approach, aligning well with an innovative and fast-paced environment. The certifications from Google and IBM further demonstrate a commitment to continuous learning and staying current with industry trends. The target role of AI Engineer aligns well with their demonstrated skills and project focus.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative, leadership, and problem-solving skills through hackathon achievements and project leadership. Their ability to deliver technical presentations and secure media coverage suggests good communication and presentation skills. The focus on user-centric design and end-to-end AI product development indicates an operational mindset. However, without specific psychometric or English test scores, a comprehensive assessment of work attitude, stress handling, and team collaboration is limited.