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AI Engineer with 1+ years in Machine Learning, Generative AI & NLP.
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 Machine Learning, Generative AI, and LLM-based applications. Skilled in Python, LangChain, and Scikit-learn for building intelligent systems, anomaly detection, and NLP solutions. Passionate about developing scalable AI solutions and solving real-world problems using data-driven approaches.
SPPU
Bachelor of Engineering · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
The Baap Company
AI/ML Engineer
January 1, 2026 – Present
Sangamner, Maharashtra, India
Velox Solutions Pvt Ltd
Trainee AI/ML Developer
August 1, 2025 – January 1, 2026
Mumbai, Maharashtra, India
AI-Powered Counter Services Monitoring for Post Office
September 1, 2024 – December 1, 2024
Developed a real-time monitoring system to track post office counter services using AI-based image processing. Built a dashboard for visualization and monitoring of service activity. Improved service efficiency by 30% through data-driven monitoring.
Data Science Certification
Infinite Graphix
January 1, 2024 – Present
Data Visualization
Infosys Springboard Certification
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's experience spans various AI domains (Computer Vision, NLP, Anomaly Detection, Generative AI) and includes both personal projects and industry roles, indicating adaptability and a broad interest in AI. Participation in a hackathon further suggests a proactive and collaborative mindset. The focus on data-driven approaches aligns well with a culture valuing empirical decision-making.
Soft Skills & Operational Fit
The candidate's resume indicates strong problem-solving skills through project descriptions and hackathon recognition. The ability to work on complex, real-time AI systems suggests good operational fit for roles requiring robust system development. The detailed descriptions of project architecture and implementation imply a structured approach to development.