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AI Engineer with 1+ years in Python, Machine Learning & LLMs
2024 CSE graduate and self-motivated AI Engineer with hands-on experience in Python, Machine Learning, Deep Learning, and Generative AI. Built production-grade AI-powered applications integrating LLMs, Prompt Engineering, and AI frameworks including Anthropic Claude API and OpenAI GPT-3. Certified in Generative AI, Deep Learning, NLP, and AI via Infosys Springboard. Passionate about Artificial Intelligence and building innovative solutions - experienced in data processing, model development, AI integrations, and research and experimentation with emerging AI technologies. Fresh graduate with relevant projects and internships, eager to contribute to real-world AI projects at Polluxa.
V.S.M. Somashekhar R. Kothiwale Institute of Technology
B.E. · Computer Science & Engineering
August 1, 2020 – June 30, 2024
Tap Academy Pvt. Ltd.
Full Stack Developer Intern
June 1, 2024 – May 1, 2025
Bengaluru, Karnataka, India
Seventh Sense
Software Developer Intern
November 1, 2023 – February 1, 2024
Bengaluru, Karnataka, India
Zeal CodeLab
Data Analytics Intern
August 1, 2023 – October 1, 2023
Belgaum, Karnataka, India
AI CSV Analyzer - AI-Powered Application & Automation Solution
January 1, 2025 – January 1, 2025
• Built a production-grade AI-powered application (FastAPI + React) integrating Anthropic Claude API (LLM) for natural language insights from any uploaded CSV - demonstrates practical Generative AI, LLM integration, and Prompt Engineering skills. • Integrated scikit-learn Machine Learning (Isolation Forest) for unsupervised anomaly detection on live financial datasets via yfinance — applied Deep Learning concepts, data processing, model development, and AI integrations end-to-end. • Designed 7 REST API endpoints with Pydantic validation and Uvicorn ASGI deployment - demonstrates hands-on experience building innovative AI solutions and automation solutions aligned with Polluxa's AI engineering scope.
View ProjectRAG Document Intelligence System
January 1, 2025 – January 1, 2025
• Built a Retrieval-Augmented Generation (RAG) AI application using HuggingFace, FAISS, and DistilBERT - demonstrates deep understanding of Large Language Models, AI frameworks, and emerging AI technologies. • Applied Prompt Engineering and NLP techniques to enable intelligent document querying - hands-on research and experimentation with Generative AI tools and LLM-based solutions.
View ProjectAircraft Engine Predictive Maintenance - ML Model (R2=0.91)
January 1, 2024 – January 1, 2024
• Developed a Machine Learning predictive model achieving R²=0.91 - applied data processing, model development, and analytical skills to deliver an AI-powered automation solution for real-world operational risk prediction.
View ProjectOpenAI GPT-3
Infosys Springboard
May 1, 2026 – Present
Generative AI
Infosys Springboard
May 1, 2026 – Present
Data Science
Infosys Springboard
May 1, 2026 – Present
Prompt Engineering
Infosys Springboard
May 1, 2026 – Present
Deep Learning
Infosys Springboard
May 1, 2026 – Present
Artificial Intelligence
Infosys Springboard
May 1, 2026 – Present
RPA
Infosys Springboard
May 1, 2026 – Present
NLP
Infosys Springboard
May 1, 2026 – Present
Computer Vision
Infosys Springboard
May 1, 2026 – Present
FastAPI
Independent Upskilling
June 1, 2025 – Present
Machine Learning
Independent Upskilling
June 1, 2025 – Present
Docker
Independent Upskilling
June 1, 2025 – Present
LLM API Integration
Independent Upskilling
June 1, 2025 – Present
AI-powered Application Development
Independent Upskilling
June 1, 2025 – Present
PostgreSQL
Independent Upskilling
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse personal projects in AI (CSV Analyzer, RAG, Predictive Maintenance) and multiple internships across full-stack development, software development, and data analytics demonstrate a broad interest and proactive approach to learning. This aligns well with a culture that values continuous learning and innovation. The focus on AI-powered automation solutions is a strong fit for an AI engineering scope. However, as an entry-level candidate, their direct experience in a dedicated AI engineering team is limited, which might require some ramp-up in specific team workflows.
Soft Skills & Operational Fit
The candidate demonstrates self-motivation, a willingness to learn and experiment, and strong problem-solving and analytical skills, which are crucial for an AI Engineer role. Their experience in Agile environments and collaboration with senior developers suggests good operational fit. However, as an entry-level candidate, practical experience in complex team dynamics and large-scale production deployments is limited.