Help & Supportcareers@gravityer.com
AI/ML Engineer and Data Scientist with less than a year in Python, SQL, Machine Learning, and Deep L
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI/ML Engineer and Data Scientist with expertise in Python, SQL, Machine Learning, Deep Learning, NLP, Generative AI, Computer Vision, and Power BI. Experienced in building end-to-end AI solutions including LLMs, RAG pipelines, predictive models, ETL workflows, dashboards, and intelligent automation systems using PyTorch, Transformers, LangChain, OpenCV, and Streamlit. Skilled in data analysis, model deployment, research, and scalable AI applications with strong problem-solving and analytical abilities.
Madurai Kamaraj University
Master of Computer Applications (MCA)
August 1, 2016 – June 30, 2019
IHRD Kollam
Post Graduation Diploma in Computer Application
August 1, 2014 – June 30, 2015
MG University Kottayam
Bachelor of Electronics and Communication
August 1, 2011 – June 30, 2014
Luminar Technolab
Data Science Intern
December 1, 2024 – July 1, 2025
Cochin, Kerala, India
Project Luna - Voice-Controlled Desktop Assistant
June 1, 2025 – June 1, 2026
Built an intelligent AI-powered desktop assistant capable of real-time speech recognition, desktop automation, and voice-based interaction. Implemented features including wake-word activation, application control, WhatsApp/email automation, Wikipedia search, YouTube playback, offline support, and safe math calculations using Python automation, NLP, and speech AI technologies.
View ProjectEmotion-Aware Voice Chatbot
June 1, 2025 – June 1, 2026
Developed a sentiment-aware AI chatbot capable of detecting user emotions and adapting responses dynamically. Integrated speech recognition, transformer-based NLP models, and LLM inference to deliver contextual and interactive voice-based conversations with improved response relevance.
View ProjectAI-Based Traffic Prediction System
June 1, 2025 – June 1, 2026
Built a real-time traffic monitoring and prediction system using YOLOv5 and OpenCV for vehicle detection and video analytics. Implemented vehicle classification, speed estimation, and congestion prediction logic based on traffic density and average vehicle speed using deep learning and computer vision techniques.
View ProjectText Response Classifier - NLP Screening Tool
June 1, 2025 – June 1, 2026
Developed an NLP-based text classification system to detect and flag sensitive text inputs. Implemented TF-IDF vectorization and Decision Tree classification model achieving accurate real-time moderation and screening workflows through a Streamlit-based web application.
View ProjectGlobal Water Quality and Public Health Risk Assessment
June 1, 2025 – June 1, 2026
Performed exploratory data analysis and secondary research on global water pollution and disease datasets. Conducted SQL-based querying, data cleaning, and visualization to identify regional health risks and generate compliance-style analytical reports.
View ProjectCybersecurity Breach Analysis Dashboard
June 1, 2025 – June 1, 2026
Designed an interactive Power BI dashboard to analyze cybersecurity breach incidents across departments and countries. Developed KPI tracking, DAX-based calculations, and analytical visualizations to identify trends, high-risk regions, and security compliance insights for decision-makers.
Data Science with Python – NACTET
NACTET
June 1, 2026 – Present
Generative AI: Working with Large Language Models
Unknown
June 1, 2026 – Present
Microsoft Azure Solutions Architect Expert (AZ-305) Cert Prep
Microsoft
June 1, 2026 – Present
AWS for Developers: S3
AWS
June 1, 2026 – Present
Power BI Data Modeling with DAX
Unknown
June 1, 2026 – Present
Excel: Working Together with Power Query and Power Pivot
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse range of personal projects, covering computer vision, NLP, generative AI, and data analysis, indicates a strong passion for the field and a proactive learning approach. This aligns with a culture that values continuous learning and initiative. The internship experience, though brief, mentions collaboration, suggesting an ability to work in a team environment. The breadth of skills and tools used across projects also points to adaptability and a willingness to explore different technologies, which is beneficial for cultural fit in dynamic tech environments.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Research Ability', 'Attention to Detail', 'Documentation', 'Team Collaboration', and 'Adaptability' as core strengths. These align well with the demands of an AI/ML Engineer and Data Scientist role, which often requires meticulous data handling, problem-solving, and collaborative development. The project descriptions also implicitly demonstrate problem-solving and independent learning.