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AI Engineer with less than a year in Machine Learning & Software Development
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 Computer Science (AI) student with hands-on experience in machine learning, data analysis, and software development. Skilled in building intelligent, data-driven systems using Python, Java, C++, and SQL, with a strong foundation in AI models, cloud technologies, and full-stack application design. Adept at applying analytical problem-solving and OOP principles to develop scalable, real-world solutions.
Nottingham Trent University
BSc (Hons) Computer Science (AI) · Computer Science (AI)
September 1, 2023 – June 30, 2026
Delhi Public School, Sushant Lok (CBSE)
A Level Equivalent (Indian School Certificate) · Mathematics, Economics, Psychology & Computer Science
June 1, 2023 – May 31, 2023
Sanex Packaging Connections
Web Development and Content Intern
April 1, 2023 – August 1, 2023
Gurgaon, Haryana, India
Docker Based Load Balancer Simulation deployed on Linux using Java, JavaFX and MySQL
June 1, 2025 – Present
A file transfer system programmed in Java using Docker and Linux, with JavaFX for the UI. Distributes file transfers across multiple containers using algorithms like Round Robin, SJN, and FCFS. Utilises SSH/SFTP for transfers, SQLite/MySQL for metadata storage, with health checks, artificial delay simulation, and traffic management. Handles file chunking for large transfers and tracks performance metrics.
CycleNest – Cloud-Based Rental Platform
June 1, 2025 – Present
Developed a RESTful rental platform using Java, Jersey, and MongoDB Atlas for item management and rental request processing. Integrated an external routing API to calculate proximity between users and rental items using real-world coordinates. Improved system performance through JMeter-based load testing and in-memory caching optimisation. Implemented API key authentication and rate limiting to enhance security and service availability.
AI Powered Satellite Based Poverty and Food Insecurity Estimation System
June 1, 2025 – Present
Building an AI model using satellite and socioeconomic data to predict poverty and food insecurity. Using Python, TensorFlow, and GeoPandas for data pre-processing and CNN-based analysis. Creating an interactive Streamlit dashboard to display predictions and insights. Applying Grad-CAM and SHAP for explainability, aligning with UN SDGs 1, 2, and 13.
Cricket AI Chatbot — Multi-Technique Intelligent Conversational System
June 1, 2025 – Present
Built a fully integrated AI chatbot in Python combining six techniques — AIML pattern matching, TF-IDF cosine similarity search with NLTK lemmatisation, First Order Logic reasoning with contradiction detection, and CNN image classification (TensorFlow/Keras) trained on a five-class sports dataset. Extended the system with a fuzzy inference system (scikit-fuzzy) for cricket player skill rating, Google Cloud Vision API for cloud-based image analysis, and Google Speech Recognition for voice input/output, all within a responsive Tkinter GUI.
Distributed Hadoop Cluster & Road Safety Analytics
June 1, 2025 – Present
Built and configured a 5-node Hadoop cluster on VMware with HDFS, YARN, replication, and distributed storage. Developed a Java MapReduce application to analyse the UK Road Safety dataset and aggregate casualty severity statistics. Utilised HDFS block distribution, data replication, and parallel processing to execute workloads across multiple nodes.
Real-Time Flight Management System using AviationStack API and GUI
June 1, 2025 – Present
Developed a desktop application to fetch, display, and manage real-time flight data using the AviationStack API and CSV integration. Implemented features such as search, filter, and sort for users, along with admin controls (add/update/delete/save flights). Designed an interactive GUI with role-based access for both users and administrators.
Digital Marketing
November 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse range of applications for AI, from social impact (poverty estimation) to conversational systems and distributed computing. This breadth of interest and application aligns well with an innovative and problem-solving culture. Their involvement in university societies and sports indicates a well-rounded individual who can contribute positively to team dynamics. The target role of AI Engineer is well-aligned with their Computer Science (AI) degree and project portfolio, suggesting a strong intrinsic motivation for the field.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, strategic curiosity, and technical empathy through their project descriptions. Their involvement in student ambassador and course representative roles, along with society memberships, suggests good communication and teamwork potential. The internship experience, though not directly AI-focused, shows an ability to learn and apply new tools in a professional setting. Adaptive communication and people management skills are listed, which are beneficial for collaborative AI development environments.