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AI Engineer with less than a year in Generative AI, RAG Systems & Workflow Automation.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AIML graduate with hands-on experience in Generative AI, RAG systems, workflow automation, and AI-powered applications. Skilled in Python, APIs, prompt engineering, and building productivity-focused solutions. Passionate about leveraging AI and automation to improve operational efficiency and solve real-world business problems.
Sasi Institute of Technology & Engineering
B.Tech · Artificial Intelligence and Machine Learning (AIML)
August 1, 2022 – June 30, 2026
Sri Chaithanya Girls Junior College
Intermediate · MPC
June 1, 2020 – May 31, 2022
Z.P. High School Mallavolu
Secondary School Education
June 1, 2019 – May 31, 2020
AIMERS
AI Voice Assistant
June 1, 2024 – July 31, 2024
India
AI Travel Planner Chatbot
June 1, 2026 – Present
Built an AI travel planner using React.js, Node.js, and SQLite for personalized itinerary generation. Integrated 3+ services including Gemini API, OpenWeather API, Amadeus API, and Google Maps URLs. Developed dynamic recommendation logic for real-time, location-based travel planning.
View ProjectAI Web Research Assistant
June 1, 2026 – Present
Developed a RAG-based AI assistant using LangChain, Groq (Llama 3.1) for question answering from web URLs. Implemented semantic search using Hugging Face embeddings, ChromaDB, and RecursiveCharacterTextSplitter. Built an interactive Streamlit UI with multi-URL processing and AI-generated responses with source citations.
Advanced Audio Steganography using LSB Technique
June 1, 2026 – Present
Designed and implemented an advanced audio steganography system using the LSB technique in Python. Implemented 3 key features: password-protected extraction, multi-format file support, and automated email transmission using SMTP. Developed a Tkinter-based GUI using Wave and NumPy for secure and efficient audio data processing.
View ProjectWebML101: Google AI for Anyone by Google (edX)
Google (edX)
June 1, 2026 – Present
Published research paper on AI-based personalized travel planning at the International Conference on Cyber and AI Security organized by MITS in association with IEEE and IIIC.
International Conference on Cyber and AI Security (MITS, IEEE, IIIC)
June 1, 2026 – Present
Test Engineer - Infosys Foundation Finishing School for Employability Program (ICT Academy)
Infosys Foundation Finishing School for Employability Program (ICT Academy)
June 1, 2026 – Present
Data Mining by NPTEL
NPTEL
June 1, 2026 – Present
Introduction to Data Science by Infosys
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in applying AI to real-world problems (travel planning, web research, audio steganography). The internship as an AI Voice Assistant further aligns with practical AI application. The diversity of projects and technologies used (front-end, back-end, databases, various AI models) indicates a broad technical curiosity and willingness to explore different domains within AI, which is a good cultural fit for an innovative AI engineering role. However, the experience is primarily academic, and the candidate is still pursuing their B.Tech, which might require mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates teamwork, adaptability, time management, and leadership skills, which are crucial for operational fit. The project descriptions indicate an ability to work on complex problems and integrate multiple technologies, suggesting good problem-solving and execution capabilities. The academic topper achievement also points to strong self-discipline and learning ability.