ML Engineer with less than a year in Deep Learning, MLOps & Quantum Computing
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Computer Science graduate (GPA: 9.0/10) with hands-on experience building deep learning models, automating data pipelines, and deploying AI-powered applications. Proficient in TensorFlow, PyTorch, Scikit-learn, and OpenCV with a strong foundation in CNNs, NLP, and REST API development. AWS Certified with exposure to quantum computing. Seeking a Machine Learning Engineer or AI/ML Developer role to build scalable, data-driven solutions.
Centurion University of Technology and Management
B.E. · Computer Science
August 1, 2022 – June 30, 2026
Gram Tarang Technologies
Graduate Engineer Trainee Quantum & ML Division
January 1, 2026 – Present
Vizianagaram, Andhra Pradesh, India
Infosys Springboard
Artificial Intelligence and Machine Learning Intern
November 1, 2025 – January 1, 2026
India
BizBoost - AI-Powered Social Media Automation
September 1, 2025 – December 1, 2025
Built a full-stack app with AI content generation automating posts across 3 platforms; analytics dashboard tracked 1,000+ events, improving engagement by 35%. Secured platform with JWT-based authentication and role-based access control, supporting multi-user workflows.
View ProjectAI-Driven Crop Disease Prediction
December 1, 2024 – March 1, 2025
Built a CNN model in TensorFlow to classify 15+ crop diseases from leaf images, achieving 92% validation accuracy on a 54,000-image dataset. Deployed as a Flask REST API for real-time inference; preprocessing pipeline (augmentation, histogram equalization) improved generalization by 12%.
View ProjectOCR System for Real-Time Text Extraction
July 1, 2024 – October 1, 2024
Developed an OCR pipeline achieving 88% accuracy on 500+ noisy real-world image types; preprocessing module boosted accuracy by 25% over baseline. Reduced average inference latency to under 1.2s per image via Python multiprocessing batch processing. Exported extracted text to structured CSV and JSON formats, enabling downstream data analysis workflows.
View ProjectData Science with AI/ML using Python (Gold)
NASSCOM
August 1, 2025 – Present
Professional ML Engineer Study Path
July 1, 2025 – Present
Certificate of Excellence Engineering Quiz
Unstop
June 1, 2025 – Present
Python and AI & Machine Learning
Infosys Springboard
June 1, 2025 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2025 – Present
AWS Certified Cloud Practitioner
Amazon Web Services
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including an OCR system, an AI-driven crop disease prediction, and a full-stack social media automation tool, indicates a broad interest in applying AI/ML to various domains. The target role of ML Engineer aligns well with the candidate's demonstrated skills in model development, deployment, and optimization. The certifications from NASSCOM, Google, and AWS further reinforce a commitment to professional development in the ML and cloud space. The current role as a Graduate Engineer Trainee in Quantum & ML Division suggests an interest in advanced and emerging technologies, which could be a good fit for innovative teams. However, the candidate is still early in their career, and while the breadth of skills is good, the depth in a professional setting is yet to be fully established.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive learning attitude through numerous certifications and personal projects. The project descriptions are clear and highlight quantifiable achievements, suggesting good communication of technical outcomes. The experience as a Graduate Engineer Trainee in Quantum & ML Division, although early stage, shows an interest in cutting-edge fields. The candidate's ability to work on diverse projects (OCR, disease prediction, social media automation) indicates adaptability and problem-solving skills. However, the psychometric test score is 0, which is insufficient to assess logical reasoning, work attitude, stress handling, or team collaboration.