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AI Engineer with less than a year in Full-Stack Development & LLM Integration
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech (Hons) Computer Science student with experience in full-stack development using Python, Flask, React and REST APIs. Built AI-powered applications integrating LLMs, backend services and deployment workflows. Familiar with Git, Docker and collaborative development practices with strong interest in scalable software engineering.
RV University
B.Tech (Hons) · CS & Engineering
August 1, 2023 – June 30, 2027
TEAM Academy
Pre-University Course
June 1, 2021 – May 31, 2023
LT Technology Services (LTTS)
AI Development Intern
January 1, 2026 – Present
India
Bosch
Software Development Intern
November 1, 2025 – February 1, 2026
Bengaluru, Karnataka, India
Janmamitra NGO
Frontend Intern
January 1, 2024 – June 1, 2024
India
MySchemes AI Intelligent Recommendation
January 1, 2026 – Present
Engineered a recommender blending AI and web scraping to match users with government benefits via an interactive UI.
View ProjectSwinIR-Like Image Super-Resolution
January 1, 2025 – Present
Simplified SwinIR architecture using DIV2K datasets to enhance resolution; researched transformer-based vision models.
View ProjectDecentralized To-Do List (Ethereum)
January 1, 2025 – Present
Created blockchain task management system using Solidity and Hardhat; deployed on Sepolia testnet.
View ProjectAI Investment Planner - Gemini & Streamlit
January 1, 2025 – Present
Designed an LLM tool offering personalized financial advice based on user income, goals, and risk appetite.
View ProjectAI-Powered Network Pentesting Automation (LLM)
January 1, 2025 – Present
Built a full-stack platform using React, Flask, and Nmap. Integrated Gemini LLM for real-time risk analysis and reporting.
View ProjectV2V Communication – Pothole Detection
January 1, 2024 – Present
Designed an IoT system using sensors to detect road potholes and transmit real-time alerts to nearby vehicles.
View ProjectGoogle Drive Link
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from AI-powered pentesting to blockchain and IoT, indicates a strong drive for learning and exploring new technologies, which is a positive cultural fit for an innovative AI engineering environment. Their involvement in an NGO and leadership roles suggests a collaborative and community-oriented mindset. The target role of 'AI Engineer' aligns well with their demonstrated project work and internship experiences, particularly the AI Development Intern role at LTTS. The breadth of skills and technologies explored points to adaptability and a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate demonstrates initiative through multiple personal projects and leadership in extracurricular activities. Their project descriptions suggest an ability to work on complex problems and integrate various technologies. The internship at LTTS specifically highlights experience in developing end-to-end solutions and extracting business insights, which aligns well with operational needs in an AI engineering role. However, without direct interview data, assessing stress handling, detailed team collaboration, and communication clarity in a professional setting is limited.