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AI Engineer with less than a year in Generative AI, Cloud, and workflow automation.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with hands-on experience developing Generative AI applications, AI agents, and cloud-native automation solutions using AWS and Azure. Skilled in Python, SQL, AWS Bedrock, LangGraph, Prompt Engineering, and enterprise workflow automation. Experienced in building LLM-powered systems and intelligent business applications.
SRM Institute of Science and Technology
B.Tech · Computer Science Engineering (AI & ML)
August 1, 2021 – June 30, 2025
Hubino Technologies
AI Engineer Trainee
July 1, 2025 – April 30, 2026
Chennai, Tamil Nadu, India
AI-Based Animal Detection and Smart Farming (Final Year)
June 27, 2026 – Present
Developed a computer vision system to detect animal intrusions and prevent crop damage using Deep Learning techniques. Integrated CNN-based detection models with IoT alert mechanisms for real-time monitoring and response
Strategy Builder Chatbot
June 27, 2026 – Present
Developed a Generative AI chatbot to generate business strategies from user requirements and export structured reports. Implemented using AWS Bedrock, S3, EC2, Prompt Engineering, and CI/CD pipelines for scalable deployment.
Enterprise AI Automation Platform
June 27, 2026 – Present
Designed and implemented AI agents for supplier communication, workflow automation, dataset validation, and reconciliation processes using LangGraph and Oracle APIs. Integrated Azure Functions, Blob Storage, and email-based workflows to automate enterprise operations and reporting.
Azure Log Export Pipeline
June 27, 2026 – Present
Built a cloud-native data pipeline to export Azure Log Analytics security logs into Azure Blob Storage in Parquet format. Implemented Azure Functions (HTTP Trigger) for automated, scalable, and cost-efficient data processing workflows.
Robotics in Healthcare: Assisting in Elderly Care and Persons with Disabilities
Unknown
June 1, 2026 – Present
A Comprehensive Study of IoT and Machine Learning Applications in Modern Agriculture
ICICC 2025
January 1, 2025 – Present
Facial Emotion Recognition for Enhanced Human-Computer Interaction using Deep Learning and Temporal Modelling with BILSTM
2024 5th International Conference on Smart Electronics and Communication
January 1, 2024 – Present
Marine Environment Monitoring Using Wireless Sensor Networks / IoT (Application No. 202441049505A)
The Patent Office Journal No. 27/2024
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and publications demonstrate a strong interest and foundational knowledge in AI/ML, cloud, and automation, which aligns well with an AI Engineer role. The diversity of projects, from chatbots to computer vision and enterprise automation, indicates adaptability and a broad technical curiosity. The future-dated work experience and education suggest a candidate who is still early in their career but has already engaged with advanced topics.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate a proactive approach to problem-solving and an ability to work on diverse technical challenges. The academic projects and publications suggest a research-oriented mindset and a capacity for independent work. However, without specific behavioral assessment data, it is difficult to fully evaluate collaboration, stress handling, or direct communication skills.