AI Engineer with 2+ years in Machine Learning, Low-Code Development & Web Development
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Assessing your cultural and operational fit
Results-oriented AI/ML Engineer with 2.3 years of experience in developing and deploying intelligent solutions. Skilled in machine learning, deep learning frameworks (TensorFlow, Keras), and natural language processing using LLM models. Proven ability to create interactive web platforms, optimize data processes with cloud technologies (GCP), and build low-code applications (Appian) to automate workflows and enhance business efficiency. Effective communicator capable of translating complex technical concepts into actionable insights.
R.M.D Engineering College
B.Tech · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
WNS VURAM
Associate Technical Consultant
May 1, 2025 – Present
India
Hyundai
Machine Learning & Web Development Intern
September 1, 2023 – October 1, 2024
India
MediSynapse – Medical Report Summarization
June 18, 2026 – Present
Developed an end-to-end NLP pipeline to distill complex clinical text into actionable summaries through a LLM model. Implemented Generative AI and transformer-based architectures for intelligent extraction of critical medical insights, improving clinical readability and decision-making efficiency.
SecureX - Deepfake Detection System
May 1, 2025 – June 1, 2025
Engineered a deep learning framework using ResNext and LSTM to identify AI-generated media, functioning as a fraud-detection system with Power BI visualization.
Designing, building, and productionizing ML models on Google Cloud via Vertex AI
June 1, 2026 – Present
SQL for Data Science: Advanced mastery of complex queries, joins, and data manipulation
Unknown
June 1, 2026 – Present
Oracle Cloud Infrastructure 2024: Generative AI Certification
Oracle
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects (Deepfake Detection, Medical Report Summarization) show a diverse application of AI/ML in relevant and impactful domains. The internship at Hyundai involved both ML and web development, indicating adaptability and a broad skill set. The current role as an Associate Technical Consultant, while low-code focused, still involves process automation and integration, suggesting a problem-solving mindset. The certifications in Generative AI, Google Cloud ML, and SQL further demonstrate a proactive approach to learning and skill development, aligning with a culture of continuous improvement. The hackathon and symposium achievements also point to a competitive and collaborative spirit.
Soft Skills & Operational Fit
The candidate demonstrates professional attributes such as being a 'Results-Oriented Team Player' and an 'Effective Communicator'. These indicate a potential for good team collaboration and the ability to articulate complex technical concepts to stakeholders, which are crucial for operational fit in an AI engineering role. The project descriptions are clear and highlight problem-solving skills.