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AI Engineer with 1+ years in LLMs, Machine Learning & Computer Vision
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 Engineer with hands-on experience in LLMs, machine learning, and computer vision. Built real-world systems including chatbots, predictive models, and automated analytics tools. Strong in Python and modern AI frameworks, focused on developing scalable and impactful solutions.
MES College of Engineering
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
MSMHSS Higher Secondary School
Class XII · PCM/CS
June 1, 2019 – May 31, 2021
Rubixe
Data Science Intern
January 1, 2025 – June 1, 2026
Bengaluru, Karnataka, India
LLM-Based Chatbot
January 1, 2026 – June 1, 2026
Built an LLM-powered chatbot handling natural language queries with contextual responses. Implemented LangChain for prompt orchestration and conversational memory. Developed scalable REST APIs using FastAPI for real-time interaction. Improved response relevance and reduced latency for efficient performance.
Incident Tracker - Full Stack
January 1, 2026 – June 1, 2026
Built a production-style incident tracking system simulating DevOps workflows. Developed scalable backend APIs with CRUD, filtering, pagination, and sorting. Integrated PostgreSQL using SQLAlchemy ORM for efficient data handling. Created responsive frontend using React and Axios.
Automated Data Analyser
January 1, 2026 – June 1, 2026
Designed an automated data analysis tool for dataset processing and summarization. Implemented data cleaning, missing value handling, and statistical reporting. Generated interactive visualizations including correlation heatmaps and distributions. Reduced manual analysis effort by 70%.
AI Automation Bot for Lead Enrichment
January 1, 2025 – December 31, 2025
Developed AI system to extract and enrich lead data, reducing effort by 70%. Implemented intelligent parsing for business insights extraction. Integrated Gemini API for contextual analysis.
AI-Based Image Dehazing System
January 1, 2025 – December 31, 2025
Developed GAN-based dehazing model improving visual clarity by 80%+. Built real-time video pipeline achieving high perfomance. Optimized inference for low-latency deployment.
Customer Transaction Prediction
January 1, 2025 – December 31, 2025
Built ML models (Logistic Regression, Random Forest, XGBoost) for classification. Performed preprocessing, feature scaling, and class imbalance handling. Improved performance through hyperparameter tuning.
Twitter Sentiment Analysis
January 1, 2024 – December 31, 2024
Built NLP sentiment model achieving 90%+ accuracy. Applied preprocessing techniques including TF-IDF and tokenization. Visualized sentiment trends for insights.
Cultural Fit Analysis
The candidate's project portfolio is highly aligned with an AI Engineer role, showcasing breadth across LLMs, data analysis, computer vision, and traditional machine learning. The projects are diverse in application, indicating adaptability and a willingness to explore different problem domains. The academic background in 'Artificial Intelligence and Data Science' further strengthens the cultural fit for an AI-focused organization. The personal nature of most projects suggests self-motivation and initiative.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges and deliver quantifiable results (e.g., 'reduced manual analysis effort by 70%', 'improving visual clarity by 80%+'). The internship experience suggests an understanding of real-world data science workflows. However, without specific psychometric or English test results, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills.