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AI Engineer with less than a year in MLOps & Machine Learning
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Assessing your cultural and operational fit
Recent B.Tech Computer Science Engineering Graduate specialising in Data Science, Machine Learning, and Generative AI, with hands-on experience in systems engineering, product lifecycle management, and technical documentation. Skilled in building end-to-end AI and ML pipelines covering requirements analysis, model design, deployment, and through-life support. Seeking an entry-level engineering role where I can apply my background in product development, data-driven decision making, and cross-functional collaboration to deliver reliable, maintainable technology solutions.
Dr. A.P.J. Abdul Kalam Technical University
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
Maharashtra State Board
Higher Secondary Certificate · Science
June 1, 2020 – May 31, 2020
Maharashtra State Board
Secondary School Certificate
June 1, 2018 – May 31, 2018
UCT Consulting
Data Science and Machine Learning Intern
March 1, 2026 – May 31, 2026
India
SmartBridge Indonesia
Artificial Intelligence and Machine Learning Intern
September 1, 2025 – October 31, 2025
India
Sign Language Detection System
June 1, 2026 – Present
Architected a multi-stage assistive technology pipeline: a computer vision module detects hand gestures via live webcam, a filtering script removes duplicate signs and serialises the raw token sequence, and an NLP autoencoder transforms the output into grammatically correct English sentences. Managed the complete product lifecycle from system requirements definition and algorithm selection through to integration testing and performance evaluation, applying end-to-end product engineering thinking.
View ProjectCrop and Weed Detection System for Agricultural Drones
June 1, 2026 – Present
Developed an automated computer vision pipeline achieving 97 percent accuracy in crop and weed classification under varying lighting conditions, with documented performance benchmarks and reliability testing reports. Designed the system for integration with drone hardware to enable targeted pesticide delivery, a systems-level engineering decision that balanced performance requirements, environmental impact, and operational safety constraints.
View ProjectData Science Master 4.0
YBI Foundation
June 1, 2026 – Present
Google Cybersecurity Analyst
Coursera
June 1, 2026 – Present
Prompt Engineering for ChatGPT
Great Learning
June 1, 2026 – Present
Quality Engineering and Management
Unknown
June 1, 2026 – Present
Digital Marketing with AI
Unknown
June 1, 2026 – Present
Trainee, Data Science and Generative AI
PW Skills
July 1, 2025 – May 31, 2026
Cultural Fit Analysis
The candidate's academic projects and internships show a strong alignment with the target role of an AI Engineer, focusing on practical applications of AI/ML. The diversity of projects (sign language detection, agricultural drones, employee performance prediction) indicates adaptability and a broad interest in AI applications. The certifications in various AI/ML domains further support a proactive learning attitude. However, the experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and cross-functional collaboration skills through project descriptions and extracurricular activities. Their experience in managing product lifecycles and defining requirements indicates a structured and methodical approach to engineering, which is beneficial for operational fit. The leadership roles in sports suggest good teamwork and decision-making under pressure.