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AI Engineer with less than a year in AI/ML, Node.js & Backend Development
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Assessing your cultural and operational fit
Software Engineer with hands-on experience in backend development. Built production-grade APIs and multiple AI-powered projects involving LLMs, RAG pipelines, NLP, and computer vision. Comfortable working across the full stack with a strong focus on AI engineering using Python, LangChain, and modern LLM frameworks.
Muthoot Institute of Technology and Science, Varikoli
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Chinmaya College of Arts, Science and Commerce, Tripunithura
Bachelor of Computer Applications (BCA)
August 1, 2020 – June 30, 2023
Farmlogics Technologies Pvt. Ltd.
Software Engineer
May 1, 2025 – June 30, 2025
Cochin, Kerala, India
Farmlogics Technologies Pvt. Ltd.
Software Engineer Intern
January 1, 2025 – April 30, 2025
Cochin, Kerala, India
Brain Stroke Prediction System - Deep Learning Medical Image Classification
June 7, 2026 – Present
Experimented with CNN, ResNet50, and MobileNetV2; MobileNetV2 achieved best accuracy of 89% for stroke classification. Fine-tuned MobileNetV2 with pre-trained ImageNet weights for high-precision feature extraction from brain scan images. Built preprocessing pipeline covering grayscale/RGBA conversion, resizing, and pixel normalization for consistent inputs. Developed a Flask web interface for doctors/radiologists to upload brain scans and receive real-time Stroke/Normal predictions. Tech Stack: Python, TensorFlow/Keras, MobileNetV2, Flask, OpenCV, NumPy
AI-PrepTalk - AI Powered Mock Interview Platform
June 7, 2026 – Present
Built an AI-driven mock interview platform generating role-specific questions from user resumes and selected job roles. Implemented dynamic conversation flow with memory, feedback generation, and chat history storage. Tech Stack: React, Node.js, Express, MongoDB, Google Gemini API, LangGraph, Passport.js
RAG-Based Document Q&A - Retrieval-Augmented Generation System
June 7, 2026 – Present
Built a document Q&A system using RAG to improve factual accuracy with context-aware answers. Implemented vector embeddings and semantic search for efficient document indexing and retrieval. Tech Stack: Python, LangChain, FAISS/ChromaDB, OpenAI API, Streamlit/Flask
Used Car Price Prediction - Used Cars Selling and Buying Platform
June 7, 2026 – Present
Built a Random Forest model to predict used car prices, achieving R² of 98.40% and MSLE of 0.01255. Captures underlying pricing trends across a skewed, wide-ranging dataset for reliable real-world applicability. Provides accurate price predictions to help buyers, sellers, and dealerships make informed, fair pricing decisions. Tech Stack: Python, Scikit-learn, Pandas, NumPy
Real-Time Aquafarm Monitoring System - IoT-Based Full-Stack Application
June 7, 2026 – Present
Architected a full-stack IoT system integrating ESP32 sensors, React dashboard, Node.js APIs, and React Native mobile app. Engineered predictive alerts analyzing real-time pH and temperature data to trigger early warnings. Tech Stack: React, React Native, Node.js, MongoDB, ESP32
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI/ML and full-stack development, aligning well with an AI Engineer role. The diversity of projects, from mock interview platforms to medical image classification and IoT systems, indicates a broad technical curiosity and a willingness to explore different domains. This breadth of interest suggests a good cultural fit for an innovative and dynamic team. However, the lack of explicit team collaboration or leadership experience in the provided data makes it difficult to assess cultural fit beyond individual contribution.
Soft Skills & Operational Fit
The candidate demonstrates initiative and a project-oriented mindset, having completed several complex personal projects. The experience in a startup environment (Farmlogics Technologies) suggests adaptability and a willingness to contribute across different areas. However, the limited professional experience (internship and short full-time role) means operational fit in a larger, more structured environment is yet to be fully proven. The project descriptions indicate a problem-solving approach and an ability to work independently on technical challenges.