Generative AI Engineer with less than a year in LLMs & Data Science.
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Assessing your cultural and operational fit
Enthusiastic and detail-oriented AI/ML & Generative AI Engineer with hands-on experience in building intelligent applications using LLMs, Machine Learning, and Data Science techniques. Skilled in developing AI-powered assistants, predictive models, and data-driven solutions. Seeking an entry-level role to leverage AI technologies for solving real-world problems.
Sanjivani College Of Engineering Kopargaon
B.Tech · Civil Engineering
August 1, 2019 – June 30, 2023
Junior College Taked
HSC
June 1, 2017 – May 31, 2018
New English School Taked
SSC
June 1, 2015 – May 31, 2016
A2Z IT HUB PVT LTD
AIML Engineer
July 1, 2025 – Present
Ahmadnagar, Maharashtra, India
The Captain Gym AI Website
June 24, 2026 – Present
• Integrated AI suggestions for exercise routines, diet tips, and fitness queries. • Responsive design for desktop and mobile. • Designed interactive features to help users plan workouts, track progress, and get personalized fitness guidance.
Shopping Trends Analysis
June 24, 2026 – Present
• Conducted data cleaning, EDA, and customer segmentation on retail data. Built predictive models for sales forecasting and created interactive dashboards for visualization. • Performed Exploratory Data Analysis (EDA) to identify trends such as most popular products, peak shopping months, and customer segments.
MediSphere Healthcare AI Assistant
June 24, 2026 – Present
• AI-powered medical & pharmacy Q&A assistant also User-friendly web interface • Covers medicine usage, wellness tips, and pharmacy education. • Real-time AI response generation. • Problem Solving: Automating healthcare information retrieval
Deloitte - Data Analytics Certificate
Deloitte
December 1, 2025 – Present
Completed Oracle Cloud Infrastructure Data Science Certificate with distinction
Oracle
September 1, 2025 – September 1, 2027
Oracle Cloud Infrastructure Data Science - Oracle Certified
Oracle
September 1, 2025 – September 1, 2027
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to applying AI/ML in diverse domains (healthcare, fitness, retail analysis), indicating a strong interest in real-world problem-solving. The target role of Generative AI Engineer aligns well with the candidate's project focus on AI assistants and LLMs. The breadth of skills across programming, AI/ML, data analysis, and cloud platforms suggests adaptability and a willingness to learn new technologies. The candidate's education in Civil Engineering followed by a career pivot into AI/ML also suggests a self-driven and adaptable individual.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, team collaboration, and attention to detail as soft skills. Project descriptions mention problem-solving (automating healthcare information retrieval) and team collaboration (Shopping Trends Analysis). These align with the collaborative and analytical nature of a Generative AI Engineer role. However, without direct interview data, the depth of these skills cannot be fully assessed.