
AI Engineer with 1+ years in AI/ML & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate and detail-oriented AI/ML Engineer with a strong foundation in statistical analysis, machine learning, and data visualization. Proficient in Python and SQL, with hands-on experience using Pandas, NumPy, Scikit-learn, and other data analysis tools. Skilled in transforming complex datasets into actionable insights and presenting results through clear and impactful visualizations. Experienced in building, evaluating, and deploying predictive models for real-world applications.
Sree Chaithanya Degree and Pg College
Bsc · Data science
August 1, 2021 – June 30, 2024
V Cube Consultancy Services Pvt.Ltd.
AI ML Engineer
February 1, 2025 – February 1, 2026
India
AI-Powered Multi-Agent Travel Route Guidance System for Bikers
June 1, 2026 – Present
Developed an AI-powered multi-agent travel guidance system for bikers using the CrewAI framework. The system orchestrates multiple autonomous agents to collaboratively provide optimal travel routes, weather-aware safety insights, nearby accommodation recommendations, and tourist attraction suggestions by integrating multiple real-time external APIs.
Voice-Based AI Interviewer Chatbot Using Resume Understanding (Custom Voice)
June 1, 2026 – Present
Developed an AI-powered voice-based interviewer chatbot that conducts automated, conversational interviews by understanding uploaded candidate resumes. The system dynamically generates interview questions based on candidate profiles, enables real-time voice interactions, and adapts follow-up questions using LLM reasoning. A custom-recorded human voice was used to deliver a more natural and realistic interview experience.
Certified in Management
Coursera
June 1, 2026 – Present
Certified in AI/ML & Data Science
V Cube
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a strong interest in applying AI to solve practical problems, which is a good indicator of cultural fit for an innovative AI engineering team. The diversity of projects (travel guidance, interviewer chatbot) shows versatility and a willingness to explore different AI applications. The listed certifications, although future-dated, indicate a commitment to continuous learning and professional development. The candidate's experience is primarily in personal projects and a single, future-dated professional role, which might suggest a need for more exposure to diverse team environments and corporate development cycles.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a structured approach to development, including testing, debugging, performance optimization, and documentation. The focus on real-world applications and user experience (e.g., custom voice integration) suggests a practical and user-centric mindset. The multi-agent system development implies an understanding of complex system orchestration and inter-agent communication, which are valuable for collaborative and distributed system development.