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AI Engineer with less than a year in Deep Learning, Computer Vision & RPA Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent B.Tech graduate in Computer Science (AI & ML) with hands-on experience in deep learning, computer vision, generative AI, and robotic process automation. Shipped production-ready ML models achieving up to 92% classification accuracy and delivered 6 end-to-end UiPath automation workflows during internships. Proficient in Python, PyTorch, LangChain, and Streamlit. Eager to contribute strong fundamentals in model development, data pipelines, and intelligent automation to an AI-first team.
Rajeev Gandhi Memorial College of Engineering and Technology
B.Tech · Computer Science and Engineering (Artificial Intelligence & Machine Learning)
August 1, 2022 – June 30, 2026
Gowtham Junior College
Senior Secondary · Maths Physics Chemistry
June 1, 2020 – May 31, 2022
SlashMark IT Solutions
RPA Developer (Intern)
December 1, 2025 – April 1, 2026
India
SkillDzire
Machine Learning Engineer (Intern)
June 1, 2025 – July 1, 2025
India
Knee Osteoarthritis Severity Classification | Explainable AI
June 27, 2026 – Present
Developed a deep learning computer vision system for multi-class medical image classification across KL grades 0-4 using domain-specific transfer learning on ResNet-50 and DenseNet-121, achieving approximately 58% accuracy on a highly imbalanced dataset. Integrated Grad-CAM explainability to generate visual heatmaps of clinically relevant regions, improving model interpretability for medical practitioners and supporting transparent AI decision-making. Launched an interactive Streamlit web application for real-time image upload, severity classification, and XAI visualization, demonstrating full end-to-end AI model development and deployment.
Text-to-Face Generation using Conditional GAN
June 27, 2026 – Present
Trained a Conditional GAN on 10,000+ text-image pairs to synthesize realistic human face images from natural language descriptions, demonstrating applied generative AI development. Enhanced image fidelity and text-image alignment through architecture refinement, hyperparameter tuning, and custom loss function optimization across training iterations. Shipped a Streamlit web application enabling real-time face generation from user text prompts, showcasing end-to-end generative model productionization.
Power BI Data Analyst Associate
Unknown
January 1, 2025 – Present
DevOps Webinar
GUVI & HCL
January 1, 2025 – Present
Smart India Hackathon 2024
Unknown
January 1, 2024 – Present
AI & ML Virtual Internship Certificate
Unknown
January 1, 2024 – Present
Python 101 for Data Science
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects and internships show a strong interest and practical application in AI/ML, which aligns well with an AI Engineer role. The diversity of projects (medical imaging, generative AI) and exposure to RPA indicates a broad technical curiosity and willingness to explore different domains. Participation in a hackathon suggests a collaborative and innovative mindset. However, the experience level is entry-level, which might require more mentorship and integration into a senior team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical problems and deliver end-to-end solutions. The RPA internship suggests an aptitude for process automation and problem-solving in a business context. The Smart India Hackathon participation implies teamwork and innovation skills. However, without direct assessment data, specific soft skills like leadership, conflict resolution, or advanced communication in a team setting cannot be definitively evaluated.