Help & Supportcareers@gravityer.com
Full Stack Engineer with less than a year in MERN & Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Self-motivated Computer Science postgraduate skilled in software development, DBMS, OOP, and MVC-based backend design. Proficient in Python and JavaScript, with hands-on experience building scalable applications using React.js, Node.js, and MongoDB. Strong fundamentals, excellent academic performance, and a disciplined work ethic. Seeking an entry-level developer role to contribute effectively while growing professionally.
Government Engineering College, Thrissur
M.Tech · Computer Science and Engineering
August 1, 2024 – June 30, 2026
Jyothi Engineering College, Thrissur
B.Tech · Computer Science and Engineering
August 1, 2020 – June 30, 2024
Kerala Police Academy
Software Engineering Intern
May 1, 2025 – June 1, 2025
Thrissur, Kerala, India
Thermal Image classification
February 1, 2025 – July 1, 2025
Developed YOLOv8 and DETR-based models for object detection in thermal imagery. Produced detection reports and model summaries to support decision-making in traffic monitoring. Conducted detailed data analysis and performance reporting for detection results using IoU metrics.
View ProjectFake News Detection System
January 1, 2025 – December 31, 2025
Created a Python-based system using TF-IDF and ML models (Logistic Regression, SVM). Designed for real-time news verification with high accuracy and scalability. Processed and validated large text datasets to classify accurate vs. misleading content.
View ProjectRetrieval System (RAG) for pdfs
January 1, 2025 – December 31, 2025
Built a Retrieval-Augmented Generation (RAG) system (ingest → embed → retrieve → answer) using LangChain, ChromaDB, and HuggingFace all-MiniLM-L6-v2 embeddings integrated with Llama 3 via Ollama. Implemented chunking, token management, and embedding optimization for efficient retrieval. Tools Used: Python, LangChain, ChromaDB, HuggingFace Transformers, Llama 3, PyTorch.
View ProjectJob Portal
January 1, 2024 – December 31, 2024
Built a job portal with features such as search filters, application tracking, resume uploads, and role-specific dashboards. Developed frontend using React.js and Tailwind CSS, and integrated backend workflows using Node.js and MongoDB. Created and executed test cases to validate user journeys, improving overall reliability and user experience.
View ProjectCareBot
January 1, 2023 – December 31, 2024
Designed a mental health chatbot using HTML, CSS (frontend), and Python with MySQL (backend) Leveraged NLP libraries (spaCy, NLTK) to generate empathetic responses and understand user input Added Speech-to-Text (STT) and Text-to-Speech (TTS) features for improved accessibility and user experience Enabled real-time communication and conversation history tracking for progress monitoring Conducted usability testing and refined dialogue prompts for better accessibility.
Programming for Everybody (Getting Started with Python)
Coursera
June 1, 2026 – Present
Full Stack Developer
Skolar
June 1, 2026 – Present
Hackathon Participation
SheBuilds
June 1, 2026 – Present
Artificial Intelligence
Cognizant Foundation (Tech4All)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong inclination towards learning and applying diverse technologies, from full-stack web development to machine learning and AI. The variety of personal and academic projects, including a mental health chatbot and a RAG system, indicates a proactive and innovative mindset. Participation in a hackathon further suggests a collaborative spirit and ability to work under pressure. This breadth of interest and project diversity aligns well with a culture that values continuous learning and cross-functional skills.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, adaptability, attention to detail, and team collaboration skills, as evidenced by project descriptions and internship experience. The ability to learn quickly is also highlighted. These soft skills are crucial for operational fit in a dynamic engineering environment, supporting effective teamwork and continuous improvement.