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AI Engineer with 1+ years in Generative AI, LLM Systems & Python
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Assessing your cultural and operational fit
AI/ML Engineer with experience building Generative AI applications, LLM pipelines, document intelligence systems, and machine learning models. Skilled in Python, FastAPI, vector databases, and modern LLM frameworks. Experienced in developing voice AI systems, document processing pipelines, and analytics solutions that convert data into actionable insights.
Fergusson College
Masters of Science · Data Science
August 1, 2023 – June 30, 2025
Vidyapratishthan College
Bachelor of Science · Statistics
August 1, 2019 – June 30, 2023
Application Square Infotech
Sr. AI/ML Development Executive
September 1, 2025 – Present
Pune, Maharashtra, India
Combat Solutions AI
AI Tech Lead
May 1, 2025 – September 1, 2025
Pune, Maharashtra, India
Rotten Grapes
Machine Learning Intern
November 1, 2024 – May 1, 2025
Nashik, Maharashtra, India
TAS
Data Research Intern
May 1, 2024 – June 1, 2024
Pune, Maharashtra, India
Semantic Q&A RAG System
June 1, 2026 – Present
Built a system enabling question answering over documents using embeddings and vector search.
Recommendation Engine
June 1, 2026 – Present
Developed recommendation algorithms using user behavior data.
View ProjectPaddy Price Forecasting
June 1, 2026 – Present
Built time-series forecasting models using ARIMA and Prophet.
Startup Success Prediction
June 1, 2026 – Present
Built classification models to predict startup success.
Real-Time Emotion Detection
June 1, 2026 – Present
Built a computer vision system to detect emotions from webcam input.
HackerRank Certifications - Python and SQL
HackerRank
June 1, 2026 – Present
5-Star Python Coder on HackerRank
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from RAG systems to emotion detection and forecasting, indicates a broad interest in AI applications. Their experience as an 'AI Tech Lead' and 'Sr. AI/ML Development Executive' aligns well with a senior AI Engineer role, demonstrating a commitment to the field. The academic background in Data Science and Statistics provides a strong theoretical foundation. The personal projects further highlight initiative and passion for AI, suggesting a good cultural fit for an innovative and technically driven environment.
Soft Skills & Operational Fit
The candidate's resume indicates experience in guiding junior developers, suggesting leadership potential and ability to contribute to team growth. The project diversity and experience in different AI domains suggest adaptability and a proactive learning attitude. However, without specific psychometric or English test results, a detailed assessment of communication clarity, logical reasoning, work attitude, stress handling, and team collaboration cannot be provided.