Full Stack Engineer with 2+ years in Python, Java & AI/ML.
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Assessing your cultural and operational fit
Fresh Computer Science graduate with hands-on experience building scalable web applications using Python, Django, React.js, MySQL, and PostgreSQL. Skilled in designing and integrating RESTful APIs, deploying containerized applications with Docker on cloud platforms such as Vercel and Render, and incorporating AI/LLM capabilities using Google Gemini. Experienced working in Agile environments with a strong focus on clean, maintainable, and high-performance code. Eager to contribute to innovative full-stack projects to the company's dynamic team.
Sree Narayana Gurukulam College of Engineering, Ernakulam
Bachelor of Technology · Computer Science
January 1, 2020 – January 1, 2024
Knovista Technologies
Junior Python Intern
August 1, 2025 – June 1, 2026
Cochin, Kerala, India
QSpiders
Java Full-Stack Intern
February 1, 2024 – February 1, 2025
Cochin, Kerala, India
Full-Stack AI Person Manager (crud ai app)
June 1, 2026 – Present
Engineered a containerized, AI full-stack SPA using the Google GenAI SDK and Gemini-2.5-flash, structuring a custom relational database schema for persistent, memory-aware chat histories that optimized message-retrieval latency by 35%. Implemented a multi-container architecture via Docker Compose, Gunicorn, and an NGINX reverse proxy, enhancing request-handling throughput and improving static asset delivery speeds by 40%. Authored Infrastructure-as-Code setups via Render Blueprints (render.yaml) to automate continuous integration and zero-config deployment workflows.
View ProjectYouTube Transcript Summarizer
June 1, 2026 – Present
Developed a Python-based application that extracts transcripts using the YouTube Transcript API and applies Hugging Face Transformer models (BART) for text summarization, helping users quickly grasp key insights from long videos. Implemented preprocessing steps (tokenization, cleaning, chunking) to handle lengthy transcripts effectively. Delivered concise and meaningful summaries with ~85% validated accuracy, enabling users to save time and understand core insights from videos up to 10,000 words.
Image Forgery Detection System
June 1, 2026 – Present
Developed a CNN-based Image Forgery Detection system using Django (Python) and MySQL to identify manipulated images (copy-move and splicing) and provide actionable insights. Implemented a secure authentication system with OTP email verification using Pycurl and managed image uploads via Django's built-in Media File Upload System. Integrated a custom CNN model built with TensorFlow/Keras to classify forgeries and displayed results in real-time.
AI Foundations Associate
Oracle
June 1, 2026 – Present
Python Developer Internship Certification
Knovista Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered applications to image forgery detection and transcript summarization, demonstrates a broad interest in technology and a proactive approach to learning. The target role of 'Full Stack Engineer' aligns well with the candidate's experience in both Python/Django and Java/Spring Boot full-stack development. The mention of teamwork and collaboration in the resume and project descriptions suggests a willingness to work in a team environment. However, the experience level (2) and recent graduation indicate a need for mentorship and growth within a team.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, analytical thinking, communication, teamwork, and time management as soft skills. Project descriptions indicate an ability to work on complex tasks, optimize performance, and implement multi-component architectures. The internship experience suggests collaboration and debugging skills. The candidate's focus on clean, maintainable, and high-performance code, along with experience in Agile environments, indicates a good operational fit for a dynamic team.