AI Engineer with less than a year in AI/ML and Data Analytics
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Master of Computer Applications student with expertise in Java, Python, React.js, FastAPI, and cloud platforms like AWS and Azure. Possessing 4 months of experience as an Analyst Programmer, specializing in server monitoring, database maintenance, and cloud environment management. Proficient in developing AI-powered platforms and data visualization solutions, with a strong focus on data analytics, machine learning APIs, and robust backend development.
Kumaraguru College of Technology
Master of Computer Applications
N/A – June 30, 2025
Ramco Systems
Analyst Programmer
September 1, 2025 – December 1, 2025
India
AI-Driven Career Guidance Platform
June 28, 2026 – Present
Engineered an AI-powered platform that recommends optimal career paths based on 10+ user attributes including education, technical skills, certifications, interests, and preferred roles. Developed a responsive frontend using React.js, integrated with a FastAPI backend and MongoDB for secure data storage and retrieval. Leveraged Groq API to process user input and deliver role suggestions, skill gap analysis, certification paths, and average salary insights with an accuracy rate of ~92% (validated against manually benchmarked cases). Implemented modules for resume analysis, interview Q&A generation, and industry expert referrals, resulting in a 40% increase in user engagement based on internal testing.
Zomato Reviews – Data Visualization
June 28, 2026 – Present
This visualization project provides insights into online delivery performance, location-based trends, and service quality. Used SQL for data extraction, cleaning, and transformation to organize Zomato reviews data across various dimensions like restaurants, locations, and customer feedback. Created an interactive Power BI dashboard incorporating filters, slicers, and drill-throughs to highlight key metrics, such as top-rated restaurants, city-specific delivery performance, and cuisine-based rating trends. The insights enable businesses to data-driven decisions by identifying factors driving high customer ratings, optimizing delivery processes, and targeting high-performing regions.
Accenture Data Analytics and Visualization Virtual Internship
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning and applying new technologies, particularly in the AI/ML domain. The 'AI-Driven Career Guidance Platform' project shows an interest in creating impactful, user-centric solutions. The 'Zomato Reviews' project indicates an analytical mindset and an ability to derive insights from data. The short-term experience as an Analyst Programmer suggests an understanding of operational responsibilities. Overall, the candidate appears to be a motivated individual with a strong interest in AI and data, which aligns well with an AI Engineer role, especially in a learning-oriented environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted projects, suggesting good problem-solving and project management skills. The 'AI-Driven Career Guidance Platform' project highlights an understanding of user engagement and accuracy metrics, which are crucial for operational success. The brief work experience at Ramco Systems, though short, shows exposure to operational tasks like server monitoring, maintenance, and troubleshooting, which are relevant for ensuring the stability of deployed AI solutions.