AI Engineer with less than a year in GenAI, ML, and Computer Vision
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Artificial Intelligence and Machine Learning graduate with hands-on experience in data labeling, custom model training, YOLOv8, Roboflow, Hugging Face, and prompt engineering.
Sasi Institute of Technology and Engineering
Bachelor of Technology · Artificial Intelligence and Machine Learning
N/A – June 30, 2026
Artificial Intelligence Medical and Engineering Researchers Society
Artificial Intelligence Intern
May 1, 2025 – July 1, 2025
India
VaultofCodes
AI & Prompt Engineering Intern
September 1, 2024 – October 1, 2024
India
Automated Content Distribution Bot
June 27, 2026 – Present
Built an automated content distribution system that scrapes content URLs from web sources and publishes updates to a Telegram channel. Implemented URL validation and duplicate-post prevention using CSV storage to ensure reliable content delivery. Designed command-based controls to manage bot operations using commands such as /start and /stop.
View ProjectNivas AI Telegram Chatbot
June 27, 2026 – Present
Built and deployed a Telegram chatbot on Render for real-time conversational interactions. Implemented webhook-based message handling, command support, and scheduled task execution using Flask and Telegram Bot API. Integrated external language model APIs to process user queries and generate dynamic responses with low latency.
Fish Disease Detection System Using YOLOv8 and Raspberry Pi
June 27, 2026 – Present
Assisted in developing a real-time fish disease detection system for automated aquaculture monitoring. Contributed to dataset preparation, annotation, and model training using 9,000+ images covering 7+ disease classes. Integrated USB camera, LCD display, buzzer alerts, and Telegram notifications for real-time monitoring and achieved 97.1% mAP.
Digital Skills Program
Wipro
June 1, 2026 – Present
Certified LLM Security Professional (CLLMSP)
Unknown
June 1, 2026 – Present
Prompt Engineering
AWS
June 1, 2026 – Present
ML & AI Foundations
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI/ML, coupled with internships and projects focused on AI applications (computer vision, chatbots, prompt engineering), aligns well with an AI Engineer role. The diversity of projects, from content automation to real-time detection systems, indicates a broad interest in applying AI across different domains. The certifications further demonstrate a proactive approach to skill development in relevant areas like prompt engineering and ML/AI foundations. The candidate is still pursuing their bachelor's degree, which suggests a strong learning orientation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on practical applications and integrate various components (e.g., hardware with software in the Fish Disease Detection System). The internship experiences suggest a capacity for structured data tasks, iterative refinement, and collaboration within a team setting. However, without direct interview data, it's difficult to assess communication, problem-solving, and teamwork skills beyond what's implied by project completion.