Naga Venkata Sahithi Parepalli
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 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
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 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%
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
Gen AI Academy
June 1, 2026 – Present
Prompt Design in Vertex AI
June 1, 2026 – Present
Artificial Intelligence Fundamentals
IBM
June 1, 2026 – Present
Data Science Methodology
IBM
June 1, 2026 – Present
Java Programming
NPTEL
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
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.