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AI Engineer with 1+ years in Machine Learning & Generative AI
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Assessing your cultural and operational fit
AI Engineer with 2+ years of hands-on experience building intelligent systems across the AI technology stack. Career trajectory spans foundational Machine Learning and Deep Learning through Natural Language Processing to advanced Generative AI and Agentic AI architectures. Specialized in developing production-grade AI solutions including RAG implementations, LLM-powered applications, and autonomous AI systems. Strong R&D background with emphasis on cost-effective, innovative approaches to solving real-world problems. Demonstrated ability to transform cutting-edge AI research into scalable, performant applications that deliver measurable business value.
Shivaji University
Bachelor of Technology
August 1, 2021 – May 1, 2024
MSBTE
Diploma
August 1, 2018 – May 1, 2021
Kolhapur Board
SSC
August 1, 2017 – May 1, 2018
QHills Technology Pvt Ltd
AI ML Engineer
February 1, 2025 – Present
Maharashtra, India
CodeSpyder Technologies Pvt Ltd
DSML Intern
June 1, 2024 – January 1, 2025
Maharashtra, India
Cognifyz Technologies Pvt. Ltd
Machine Learning Intern
April 1, 2024 – June 1, 2024
Maharashtra, India
Next-Word Prediction Using BERT
June 24, 2026 – Present
Built language model using pre-trained BERT to predict next 5-6 words in a given sentence. Fine-tuned BERT with masked language modeling and leveraged Hugging Face Transformers library for tokenization and inference.
Jewelry Recommendation System
June 24, 2026 – Present
Created image-based recommendation engine that suggests 5-10 similar jewelry items based on uploaded images. Implemented FAISS vector similarity search analyzing texture, color, edges, patterns, and shapes for accurate matching.
Old Car Price Prediction Model
June 24, 2026 – Present
Developed ML regression model to predict selling prices of used cars based on brand, model, manufacturing year, kilometers driven, fuel type, and other features. Achieved accurate price estimation through feature engineering and model optimization.
Cultural Fit Analysis
The candidate's project diversity, ranging from cybersecurity agents to recruitment platforms and recommendation systems, demonstrates adaptability and a broad interest in applying AI across different domains. The emphasis on cost optimization and innovation in R&D suggests a pragmatic and forward-thinking approach, which aligns well with a dynamic, results-oriented culture. The academic projects also show a foundational understanding before moving into more complex industry applications.
Soft Skills & Operational Fit
The candidate's resume highlights 'Technical Leadership in AI System Design', 'End-to-End Ownership of AI Product Lifecycle', 'Research-Oriented Problem Solving', 'Architectural Decision Making', 'Cross-Functional Collaboration', 'Client Handling', and 'Willing to learn New Concepts'. These indicate a strong operational fit, emphasizing leadership, problem-solving, and a collaborative, growth-oriented mindset crucial for senior roles.