RKM

ROGITH KRISHNA M

AI Engineer

https://www.opentalent.in/rogith-krishna-m

AI Engineer with less than a year in Full Stack Development and Machine Learning.

Key Strengths

Strong foundational knowledge in Software Engineering, Data Structures & Algorithms, and OOP.
Demonstrated ability to build AI-powered applications (chatbots, voice assistants) and IoT systems.
Hands-on experience with relevant AI/ML technologies like Gemini NLP API, OpenCV, and ML-based classification.
Proficiency in Python and Dart, key languages for AI and mobile development.
Experience with cloud platforms (Firebase, AWS) and DevOps tools (Git, Docker, CI/CD Pipelines).
Good understanding of system design principles (MVC, event-driven architecture, multithreading).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects demonstrate a strong interest in innovative and impactful applications, particularly in AI and IoT, which aligns well with an AI Engineer role. The diversity of projects (healthcare, surveillance, personal assistant) shows adaptability and a broad technical curiosity. The pursuit of certifications in Generative AI and DevOps indicates a proactive learning attitude and a desire to stay current with industry trends. The candidate's profile suggests a good fit for a dynamic, technology-driven environment.

Soft Skills & Operational Fit

The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving and analytical skills. The focus on user experience (UX Design certification) and accessibility (Healthcare Chatbot) points to a user-centric approach. The mention of Agile/Scrum practices suggests familiarity with modern development methodologies. However, without direct work experience, it's difficult to assess collaboration and communication in a professional team setting.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

MCA candidate with strong foundations in Software Engineering, Data Structures & Algorithms, and Object-Oriented Programming. Experienced in Full Stack Development using Python, Java, JavaScript, and Flutter with hands-on exposure to REST APIs, Firebase, MySQL, Docker, and AWS. Built AI-powered chatbots, IoT surveillance systems, and voice-enabled automation tools. Passionate about software engineering, system design, cloud-native application development, and modern software delivery practices.

Top Skills

PythonGit

Education

PSG College of Technology

Master of Computer Applications (MCA)

August 1, 2024 – June 30, 2026

PSG College of Arts and Science

Bachelor of Computer Applications (BCA)

August 1, 2021 – June 30, 2024

Projects

Healthcare Chatbot Mobile Application

June 5, 2026 – Present

Designed a cross-platform mobile chatbot using Gemini NLP API for real-time symptom analysis, improving healthcare accessibility for remote users. Integrated Google Maps API for geolocation-based hospital/clinic suggestions; designed Firebase Realtime DB schema for persistent, context-aware health sessions. Applied MVC Architecture with asynchronous state management and exception handling, ensuring stability under variable network conditions.

Wildlife Intrusion Surveillance System (IoT)

June 5, 2026 – Present

Built a full-stack IoT surveillance solution using OpenCV for real-time wildlife and trespasser detection with ML-based human/animal classification and authorized-person filtering. Integrated Firebase for sub-second alert streaming to a Flutter dashboard with push notifications; designed event-driven architecture for multi-node IoT scalability.

Friday - Personal AI Voice Assistant

June 5, 2026 – Present

Developed a Python voice assistant automating 10+ tasks (web search, weather, email, calendar) via integrated REST APIs (weather, news, Wolfram Alpha) with speech-to-text and TTS synthesis. Designed a modular command-processing engine with OOP principles and optimized multithreading for parallel API calls, minimizing response latency.

Certifications

IBM DevOps & Software Engineering Professional Certificate

Coursera (IBM)

June 1, 2026 – Present

Introduction to Generative AI

Google Cloud / Coursera

June 1, 2026 – Present

Foundations of UX Design

Google / Coursera

June 1, 2026 – Present

Key Strengths

Strong foundational knowledge in Software Engineering, Data Structures & Algorithms, and OOP.
Demonstrated ability to build AI-powered applications (chatbots, voice assistants) and IoT systems.
Hands-on experience with relevant AI/ML technologies like Gemini NLP API, OpenCV, and ML-based classification.
Proficiency in Python and Dart, key languages for AI and mobile development.
Experience with cloud platforms (Firebase, AWS) and DevOps tools (Git, Docker, CI/CD Pipelines).
Good understanding of system design principles (MVC, event-driven architecture, multithreading).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit