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AI Engineer with 1+ years in Python & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Developer with hands-on experience in Python, TensorFlow, LangChain, and LangGraph, specializing in building intelligent systems and deep learning models. Strong foundation in computer science fundamentals, skilled in machine learning and mathematical concepts, experienced in data collection, preprocessing, and implementing advanced algorithms to solve real-world problems efficiently.
Luminar Technolab
Data Science
August 1, 2023 – June 30, 2024
MG University
BSc · Mathematics
August 1, 2018 – June 30, 2021
GBS PLUS PVT LTD
Junior Machine Learning Engineer
November 1, 2025 – Present
Thiruvananthapuram, Kerala, India
Qmark Technolab
AI/ML Developer
March 1, 2025 – November 1, 2025
Cochin, Kerala, India
Luminar Technohub
Data Science Intern
August 1, 2024 – February 1, 2025
Cochin, Kerala, India
AI Chatbot
June 24, 2026 – Present
Engineered an AI-driven chatbot using LangGraph with integrated Tavily Search, custom weather forecasting, and Stable Diffusion-based text-to-image generation, showcasing strong experience in LLM orchestration and multimodal AI workflows. Implemented conversation persistence with state management and developed an interactive Streamlit UI for real-time interaction.
View ProjectCultural Fit Analysis
The candidate's project diversity, including an AI Chatbot and a Smart Meter Energy Demand Forecasting System, shows a broad interest in applying AI across different domains. The listed skills cover a wide range of AI/ML topics, indicating a willingness to learn and adapt. The experience in both startup (Qmark Technolab) and potentially larger (GBS PLUS PVT LTD) environments suggests adaptability to different organizational cultures. The target role of AI Engineer aligns well with the candidate's recent experience and stated professional summary.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate complex AI concepts into practical applications. The experience in building end-to-end systems suggests good operational awareness. However, without direct assessment data, soft skills like teamwork, leadership, and adaptability cannot be fully evaluated.