AI Engineer with less than a year in AI applications and cloud deployment.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Computer Science (AI/ML) undergraduate passionate about building intelligent systems and scalable data-driven solutions. Experienced in AI applications, ML pipelines, and cloud deployment using modern tools.
PSG College of Technology
B.E. · Computer Science (AI ML)
August 1, 2022 – June 30, 2026
Aspire Systems
AI/ML Developer Intern
May 1, 2025 – June 1, 2025
Chennai, Tamil Nadu, India
Agentic AI for Construction
June 1, 2025 – Present
Created an AI agent to automate coordination and reporting in construction projects using LangChain and Neo4j.
E-KYC Face Recognition System
February 1, 2025 – March 1, 2025
Developed a secure face recognition system using real-time image capture, feature extraction, and face matching.
AI Interview Agent (Speech-to-Text)
January 1, 2025 – February 1, 2025
Built a mock interview assistant using Whisper STT to transcribe responses and give automated feedback.
Tally Data System (OCR + Excel)
October 1, 2024 – December 1, 2024
Built an OCR pipeline to extract tabular data from invoices and export structured reports to Excel.
Vehicle Damage Management
August 1, 2024 – September 1, 2024
Designed a dashboard to track vehicle damage reports with service workflows and interactive UI.
Google Data Analytics: Foundations of Data Analytics
June 1, 2026 – Present
Neo4j Certified Professional
Neo4j
June 1, 2026 – Present
Google Cybersecurity: Manage Security Risks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML, aligning well with an AI Engineer role. The diversity of personal projects (face recognition, speech-to-text, agentic AI, OCR, vehicle damage management) showcases a proactive learning attitude and a broad application of AI technologies. The certifications in Data Analytics, Cybersecurity, and Neo4j further indicate a commitment to continuous learning and a versatile skill set. The candidate's academic background in Computer Science (AI ML) from a reputable institution also supports a good cultural fit for a technically driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to conceptualize and execute end-to-end solutions, suggesting problem-solving and project management skills. The internship experience, though brief, shows collaboration in real-world data analytics environments. However, without specific psychometric or English test results, a detailed assessment of soft skills, stress handling, and team collaboration is not possible.