B.Tech AI/ML student with expertise in full-stack development, machine learning algorithms, and data analytics. Passionate about creating innovative solutions and leveraging cutting-edge technologies to solve complex problems.
Dedicated B.Tech student specializing in Artificial Intelligence and Machine Learning at Vivekananda Institute of Professional Studies. With a strong foundation in computer science principles and practical experience in full-stack development, I bring a comprehensive approach to software engineering.
My technical expertise spans across multiple programming languages, frameworks, and cloud technologies. I have successfully delivered projects in both academic and professional environments, demonstrating strong problem-solving abilities and a commitment to quality.
I am passionate about leveraging AI and machine learning to create innovative solutions that address real-world challenges while maintaining robust, scalable, and efficient software architecture.
Currently working as a Software Developer Intern at Infomedia Web Solutions, where I am learning and gaining practical experience in software development.
I assist in developing and testing applications, understanding project requirements, and working with the team to complete assigned tasks.
This internship is helping me improve my coding skills, technical knowledge, and overall understanding of how real-world software projects are developed in a professional environment.
Completed industrial training at the Scientific Analysis Group (SAG), DRDO, as part of B.Tech (AI & ML) program requirement. Worked on "Exploratory Data Analysis on NASA Global Landslide Catalog Data" project.
Performed data preprocessing, cleaning, and transformation on large-scale geospatial datasets to ensure analytical accuracy, followed by statistical exploration and visualization to identify meaningful trends and risk indicators associated with global landslide events.
Applied Python-based data analysis techniques using Pandas, NumPy, and Matplotlib to derive insights and present findings in a structured, research-oriented manner within a defense research environment.
Developed strong skills in Exploratory Data Analysis (EDA), data interpretation, visualization, and working with complex environmental datasets under the guidance of DRDO scientists.
Developed a full e-commerce website using React.js, creating a smooth user experience and strengthening frontend skills. Designed and integrated APIs to enable seamless frontend–backend communication. Successfully delivered the project end-to-end, improving problem-solving abilities and overall coding efficiency.
Worked on a project using Python and Django under team guidance, contributing as an active team member to achieve project goals. Gained hands-on experience in full-stack development and database management, and received appreciation for successful project delivery and technical performance.
C/C++, Java, Python, HTML/CSS/JavaScript
ReactJS, Django, Flask, Streamlit
Supervised & Unsupervised Learning, Deep Learning, Generative AI, LLMs, NLP, TensorFlow, PyTorch, Scikit-learn
SQL, MongoDB, Pandas, NumPy, Data Cleaning, EDA, Feature Engineering, Model Evaluation, Data Visualization (Matplotlib, Seaborn)
Git, GitHub, Docker, Kubernetes, AWS (Basics)
Data Structures & Algorithms, OOP, Feature Engineering, Cloud Computing (AWS, Azure), RESTful APIs
Built an AI-powered Streamlit platform that performs instant data analysis and document summarization in one interface. Converts natural language queries to SQL using Groq LLaMA-3.3-70B, executes them in DuckDB, and visualizes results with Plotly. Extracts and summarizes content from PDFs, CSV, Excel, and text files using SentenceTransformer embeddings and FAISS-based semantic search.
Analyzed 14,750 global landslide events from NASA's dataset using Python. Performed data cleaning, handling missing values, duplicate removal, and feature engineering with Pandas and NumPy. Key findings: US has most landslides, but India has highest fatalities. Deadliest event (21,000+ deaths) occurred in Colombia (1985). Most landslides concentrated in tectonically active Himalayan region. Created visualizations using Seaborn and Matplotlib to analyze temporal trends, geographic distributions, and trigger patterns.
Developed a symptom-based disease diagnosis web application using Flask and machine learning algorithms. Provides accurate healthcare information and potential illness identification based on reported symptoms, addressing the common need for quick health assessments and preliminary medical guidance.
Developed a comprehensive employee management system using Python and Django framework. Focused on implementing CRUD (Create, Read, Update, Delete) functionality to enhance administrative efficiency and streamline human resource operations in organizational environments.
Created a comprehensive Java-based application designed to streamline the movie ticket booking process. The system provides an intuitive platform for users to select and book movie tickets, ensuring a seamless and efficient experience for cinema-goers.
CGPA: 8.37
Relevant Coursework: Object Oriented Programming, Databases, Data Structures and Algorithms, Software Engineering, Operating Systems, Computer Networks and Internet Protocol, Fundamentals of Machine Learning, Fundamentals of Deep Learning, Design and Analysis of Algorithms, Natural Language Processing
CGPA: 8.32
Relevant Coursework: Data Structures, Object Oriented Programming, Database Management System, Java
CGPA: 7.66
Relevant Coursework: General Hindi, English, Mathematics, Physics, Chemistry
CGPA: 8.33
Relevant Coursework: Hindi, English, Mathematics, Science, Social Science, Drawing
Recognized for demonstrating valuable engagement and contribution during the Open Gateway Hackathon organized by GSMA in collaboration with Nokia and HackerEarth.
Certified in foundational Oracle Data Platform capabilities, with demonstrated understanding of data architecture, integration processes, platform management, and governance frameworks.
Completed 4-day residential training on ESG, BRSR, and sustainability reporting frameworks
Recognized for meaningful contribution and active involvement in Mahakumbh 2025 at Sharda University.
Granted honorary membership for contribution to the Research and Development club
Presented research paper: "Machine Learning-Based Predictive Analysis for Diabetes: Unveiling Prognostic Insights"
January 2026 • Gurugram (Onsite Finale)
Finalist (Team CodeNova)Team CodeNova was among the Top 15 teams selected from 8,700+ participants. Built an AI-powered Creative Compliance & Generation Studio for Tesco's retail media platforms.
November 2025 • VIPS-TC, Delhi
Volunteer (Certificate of Appreciation)AICTE-sponsored VAANI 2025–26 initiative. Contributed to discussions on AI, Data Science, and challenges in Indian language technologies.
October 2025 • Delhi
ParticipantOrganized by GSMA in collaboration with Nokia and HackerEarth. Demonstrated engagement and contribution to open gateway solutions.
November 2025 • SysTools Software Pvt Ltd, Delhi
ParticipantGained valuable insights into real-world data migration, digital forensics, and industry workflows. Interacted with Founder & Director Anuraag Singh Sir and learned about ongoing cyber domain initiatives.
June 2025 • Shangri-La, New Delhi
DelegateParticipated in discussions on AI in Healthcare, regulatory reforms, and sustainable health systems with industry leaders.
June 2025 • CSE-AAETI, Rajasthan
Participant4-day residential training on ESG, BRSR, and sustainability reporting frameworks.
Vikas372391@gmail.com
+91 8601099745
New Delhi, India