AI Engineer with less than a year in Python, FastAPI & Generative AI
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Assessing your cultural and operational fit
Software Engineer and Python Full Stack Developer with skills in Python, FastAPI, Generative AI, SQL, and AWS. Experienced in developing AI-powered applications using LangChain, FAISS, and Gemini API. Passionate about building scalable software solutions, working on real-world projects, and continuously learning new technologies.
Bharath Institute of Higher Education and Research
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
Sri.P.Muthaiyar Higher Secondary School
Higher Secondary
June 1, 2019 – May 31, 2022
Sri.P.Muthaiyar Higher Secondary School
Secondary
June 1, 2019 – May 31, 2022
GradTwin Company
Python Full Stack Development Internship
January 1, 2026 – June 1, 2026
Chennai, Tamil Nadu, India
NSIC
Cloud Computing Internship
June 1, 2025 – July 1, 2025
India
CodTech IT Solutions
Full Stack Web Development Internship
April 1, 2025 – May 1, 2025
India
AI Legal Assistant
June 26, 2026 – Present
Built an AI Legal Assistant to make legal information easy to understand for users. Used FAISS vector search to find relevant legal data based on semantic meaning. Generated accurate answers using AI models Flan-T5 and Gemini API. Added features like source display, confidence score, and PDF download. Created a simple web interface for user queries using Streamlit.
Job Portal Application
June 26, 2026 – Present
Designed and developed a role-based job portal for Students, Teachers, and HODs. Implemented secure authentication and RESTful APIs using FastAPI and JWT. Built dashboards for job listings and application tracking. Integrated AWS services (EC2, S3) for scalable backend deployment. Improved system modularity and user experience with clean architecture.
Carbon Emission Prediction System
June 26, 2026 – Present
Built a machine learning model to predict carbon emissions based on input data. Performed data preprocessing, feature selection, and visualization using Pandas and Matplotlib. Generated actionable insights using data analysis and interactive dashboards. Focused on environmental sustainability with real-world dataset application.
AI/ML Workshop
IIRS-ISRO in collaboration with BIHER
June 1, 2026 – Present
Introduction to IoT
NPTEL
June 1, 2026 – Present
Cloud Computing
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse technologies, including AI/ML, web development, and cloud. The 'AI Legal Assistant' project shows an interest in practical, user-centric applications of AI. The 'Carbon Emission Prediction System' indicates an awareness of environmental sustainability, which can align with socially conscious company cultures. The internships, though brief and without detailed descriptions, show an eagerness to gain industry exposure. The breadth of skills and project diversity suggest a good cultural fit for an innovative and growth-oriented team.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, quick learning, team collaboration, and communication skills. The project descriptions indicate an ability to work on complex problems and integrate various technologies, suggesting a good operational fit for a dynamic engineering environment. However, without direct interview data, the depth of these soft skills cannot be fully assessed.