AI Engineer with less than a year in Generative AI, Cloud, and workflow 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
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.