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AI Engineer with less than a year in AI/ML and Backend Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI and Backend Engineer with strong foundations in Artificial Intelligence and Machine Learning. Hands-on experience in Python, FastAPI, React, JavaScript, and LLM-based systems. Passionate about building scalable, intelligent, and real-world applications that solve meaningful problems.
Malla Reddy Institution of Technology and Science
Bachelor In CSE · Artificial Intelligence & Machine Learning
August 1, 2021 – June 30, 2025
Web Security Reconnaissance Agent (WSRA)
AI Developer Intern
April 1, 2026 – Present
India
Vyronix.ai – RAG-Based Document Intelligence Platform
January 1, 2025 – January 1, 2026
Built a scalable RAG system for document-based AI question answering. Implemented hybrid search using pgvector and Full-Text Search for accurate retrieval. Integrated Llama-3 via Hugging Face with real-time streaming responses. Developed secure FastAPI backend with JWT, OAuth, and rate limiting. Created interactive Next.js chat UI with document upload support.
DL-Based Object Detection System for the Visually Impaired
January 1, 2024 – January 1, 2025
Developed a real-time object detection system using CNN and InceptionV3 for high-accuracy predictions. Processed live video streams using OpenCV and NumPy. Implemented a deep learning pipeline using Keras to detect and classify objects. Designed the system to assist visually impaired users through AI-based environment awareness.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI/ML, aligning well with an AI Engineer role. The academic projects show initiative and a willingness to tackle complex problems. The internship experience further solidifies this alignment. The breadth of skills across backend, frontend, and AI/ML indicates adaptability and a broad technical curiosity, which are positive indicators for cultural fit in a dynamic AI team.
Soft Skills & Operational Fit
The candidate lists collaboration, adaptability, time management, problem-solving, and communication as soft skills. While these are valuable, there is no assessment data to validate their proficiency in these areas. The project descriptions suggest an ability to work on complex tasks, which implies some level of problem-solving and time management.