AI/ML Engineer with 2+ years in Python, Machine Learning, and Generative AI.
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AI/ML Engineer with hands-on expertise in Python, SQL, Machine Learning, and Generative AI. Proven ability to build, deploy, and optimize ML models and APIs for real-world business impact. Experienced in NLP, Computer Vision (YOLO, OpenCV), and MLOps workflows using Docker, MLflow, and Airflow. Adept at translating analytical insights into scalable, client-centric solutions aligned with InnovationM's values of innovation, integrity, and collaboration.
Govt. P.G. College, Satna (MP)
B.Sc · Biotechnology
August 1, 2019 – June 30, 2021
Bonanza Convent H.S. School, Satna
Higher Secondary (12th)
June 1, 2015 – May 31, 2016
R.K.V.M High School, Satna
Matriculation (10th)
June 1, 2013 – May 31, 2014
Naresh IT
Full-Stack Data Science & GenAI Intern
March 1, 2024 – Present
Hyderābād, Telangana, India
Real-Time Face Detection
June 1, 2026 – Present
Implemented real-time detection under 700 ms with 97% accuracy using OpenCV + HaarCascades.
Advanced E-Commerce Recommendation System
June 1, 2026 – Present
Built a content-based recommendation model achieving 98% accuracy with sub-100 ms latency. Integrated Amazon Product Advertising API, improving personalization for 1M+ items.
Air Quality Prediction
June 1, 2026 – Present
Built pollution forecasting model achieving 98% consistency and validated 90% features.
Handwritten Digit Recognition (MNIST)
June 1, 2026 – Present
Reached 95% accuracy and reduced latency by 25% using vectorized NumPy operations.
Full-Stack Data Science & Generative AI
Naresh IT
June 1, 2026 – Present
DeepLearning.AI (GenAI Specialization)
DeepLearning.AI
June 1, 2026 – Present
AWS Cloud Practitioner
Unknown
June 1, 2026 – December 1, 2025
Cultural Fit Analysis
The candidate's project diversity (e-commerce, image recognition, environmental prediction) and stated soft skills (collaboration, continuous learning) suggest a good cultural fit for an innovative and team-oriented environment. The target role of AI/ML Engineer aligns well with the candidate's technical skills and project experience. The internship also shows experience in integrating analytics into client solutions, indicating a client-centric approach.
Soft Skills & Operational Fit
The candidate lists collaboration, integrity, continuous learning, stakeholder communication, and an agile mindset as soft skills. The internship description mentions partnering with cross-functional teams and designing A/B testing frameworks, which aligns with operational fit for data-driven decision-making and teamwork. However, without direct assessment, the depth of these soft skills cannot be fully validated.