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Software Developer
India-Based Software Developer
Computer Science Engineering student with a basic understanding of programming, web development, and AI.
Always curious about technology : how it works, changes, and shapes the world.
2023 - 2027
Chandigarh Group of Colleges, Landran.Bachelor of Technology in Computer Science and Engineering
Jun 2025 - Jul 2025
ThinkNEXT TechnologiesMachine Learning Trainee. Completed Python ML projects with an "Excellent" performance rating.
Key skills and experience
As an adaptable software developer, my experience spans across various languages and frameworks, allowing me to quickly learn and apply the right tools for the job. Whether I am building user-facing web features or exploring backend logic, I am driven by a desire to build impactful applications.
Programming
Python, C, C++, HTML, CSS, JavaScript, and MySQL
Frameworks
Flask, OpenCV, Scikit-Learn, and Matplotlib.
AI & ML
Machine Learning, Deep Learning, and Computer Vision.
Dev Tools
Git, GitHub, Open Source, and API integration.
Mayank Aggarwal: Learner & Builder
Beyond my academic coursework, I am deeply involved in the tech community and constantly exploring new tools. I believe in continuous learning, participating in hackathons, and sharing knowledge to grow both personally and professionally
Achievements & Hackathons
Participated in the Smart India Hackathon (SIH) 2024 and presented an article on 'Gibberlink' in the college magazine AKS – Inked with Inspiration.
Technical Toolkit
Experienced in utilizing modern development environments and version control systems, including Git, GitHub, and VS Code, to build, test, and deploy robust applications.
Latest project experience
A closer look at my recent academic and personal projects, showcasing my ability to adapt to new technologies and build practical solutions across different domains.
AI Document Q&A System (Local RAG)
Overview: A full-stack AI application that allows users to upload documents (PDF, DOCX, TXT) and ask questions through a ChatGPT-style interface using a 100% local LLaMA 3 model (zero API dependency).
The Build: Engineered a complete Retrieval-Augmented Generation (RAG) pipeline. Implemented fast semantic search, optimized document chunking, and source tracking to reduce AI hallucinations and provide accurate answers.
Tech Stack: Python, Streamlit (Frontend), FastAPI (Backend), LLaMA 3 via Ollama, FAISS Vector DB, and sentence-transformers.
Certifications & Professional Training
Machine Learning in Production | DeepLearning.AI
Issued: February 2026 (ID: 03ca1675-c9ec-4942-b825-a03b6e45c405)
Skills: MLOps, Model Deployment, Data Pipelines, TensorFlow.
Description: Mastered deploying machine learning models and managing reliable data pipelines for production environments.
Machine Learning using Python | ThinkNEXT Technologies
Issued: July 2025 (ID: 198785)
Skills: NumPy, TensorFlow, Scikit-learn, Pandas.
Description: Completed an intensive 4-week in-house training with an "Excellent" performance rating.
Internship & Job Preparation | Internshala Trainings
Issued: June 2025 (ID: 5tazsnrtic4)
Description: Focused on professional soft skills, resume building, and interview readiness for the tech industry.
C++ Internship | CodSoft
Issued: September 2024 (ID: 549d886)
Skills: C++, GitHub, Core Programming.
Description: Strengthened core programming logic through hands-on development of CLI-based tools and games.
Google Code-in | Google
Date: January 2020
Description: Introduced to open-source software development, contributing to real-world projects as a pre-university student.
Getting in touch
2320065.cse.coe@cgc.edu.in
+91 8168393372
Yamuna Nagar, HR, India
Mayank-01x
Google Sites
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