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AI Engineer with less than a year in Full-Stack Development & Machine Learning
I am a Computer Science undergraduate with skills in full-stack development, machine learning, and cloud-based application design. During my internship, I developed a prototype called TalentSage, an AI-assisted recruitment platform built based on client requirements. The system demonstrates automated resume matching using Sentence Transformers and cosine similarity, along with job description generation using TinyLlama. I implemented the prototype using React.js for the frontend and Firebase with Python-based AI services for backend functionality. The project was presented to my mentor and met the expected requirements. Through this work, I showed my ability to translate requirements into a functional prototype and integrate AI with modern web technologies.
Dayananda Sagar University
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – Present
Delhi Public School Banglore East
12th Grade
June 1, 2020 – May 31, 2022
Delhi Public School Banglore East
10th grade
June 1, 2010 – May 31, 2020
DTC Infotech
Internship
October 1, 2025 – January 1, 2026
Bengaluru, Karnataka, India
TalentSage
October 1, 2025 – January 1, 2026
Developed a full-stack AI-assisted recruitment platform prototype connecting job seekers and recruiters with intelligent resume matching and job discovery using Speckit and Claude 3.5 Sonnet. Implemented AI-powered resume ranking using Sentence Transformers and cosine similarity, generating match scores (0-100%) based on required and optional skills. Built LLM-driven job description generation and skill extraction using TinyLlama (1.1Billion parameters). Designed a scalable backend with Firebase Cloud Functions, Firestore and Cloud Storage, supporting role-based access control and secure PDF uploads.
View ProjectCalorie Tracker App
August 1, 2025 – August 31, 2025
Developed a RESTful API using Node.js and Express.js to handle CRUD operations for food entries and user data. Implemented dynamic data visualization with Chart.js on the React frontend, styled with Tailwind CSS for a modern UI.
View ProjectGNN Powered Flood Prediction
July 1, 2025 – Present
Developed an AI-powered flood forecasting and monitoring platform using Spatio-Temporal Graph Neural Networks (GNNs) to predict water levels across the Godavari Basin 7 days in advance. Used Claude Sonnet and Gemini to accelerate development of model pipelines, visualization components, and backend utilities during rapid prototyping. Processed and analyzed historical hydrological datasets obtained from Central Water Commission (CWC) gauging stations to support spatio-temporal flood forecasting. Built an interactive Streamlit dashboard featuring flood warning maps, threshold-based alerts, KPI monitoring, and multi-lake forecasting visualizations using Folium and Plotly.
View ProjectMedical Diagnostic Web Application
February 1, 2025 – May 31, 2025
Fine-tuned a Vision Transformer (ViT) model in PyTorch to classify brain tumors from MRI scans, improving accuracy on the dataset. From 95% accuracy in ResNet to 98% accuracy using ViT. To interface with the trained model developed a Django website where doctor can interface by uploading files and get results of diagnosis.
View ProjectSOCMINT (Reddit Analysis Tool)
April 1, 2024 – August 31, 2024
Developed a tool to scrape and analyze Reddit posts based on user-defined keywords. Implemented sentiment analysis to classify posts based on their content using a pretrained model called Kaviel-threat-text-classifier. Designed a Django website to display the analyzed data, demonstrating skills in data retrieval, processing, and visualization.
View ProjectModern React with Redux
Udemy
December 1, 2024 – Present
Deep learning for geodata analysis
ISRO
August 1, 2024 – Present
Tech A Linux Programming Foundation Certificate
Infosys SpringBoard
September 1, 2023 – Present
Programming, Data Structures And Algorithms Using Python
Swayam
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project portfolio showcases a strong interest in AI and machine learning applications across different domains (environmental, recruitment, medical diagnostics, social media analysis). This diversity, coupled with their continuous learning through certifications (Swayam, Infosys SpringBoard, ISRO, Udemy), indicates a growth mindset and intellectual curiosity, which are positive indicators for cultural fit in an innovative and fast-paced environment. The target role of 'AI Engineer' aligns well with their demonstrated skills and project focus. However, the lack of extensive team-based professional experience means their collaborative and leadership aspects for a senior role are yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates initiative and a proactive approach to learning and project development, as evidenced by their diverse academic and personal projects. Their ability to work on both frontend and backend, and integrate various AI models, suggests strong problem-solving and execution skills. The use of AI assistants (Claude Sonnet, Gemini) for rapid prototyping indicates an adaptive and efficient work style. However, with limited professional experience, their operational fit in a senior role would need further validation regarding collaboration, project management, and handling complex production environments.