About
Hi, I'm Abhijeet Sharma, an aspiring AI/ML Developer with a strong foundation in Data Structures and Algorithms — I've solved 350+ problems across LeetCode, CodeChef, GeeksforGeeks, and HackerRank. I recently built and deployed a production-style Weather API using FastAPI, with in-memory caching, rate limiting, automated tests, and Docker — live at weather-api-59gn.onrender.com/docs. I also led a team building a real-time typing speed analyzer with live WPM/accuracy tracking and a performance dashboard. I work primarily in Python (NumPy, Pandas, Matplotlib), C++, and JavaScript, and I'm actively expanding into Machine Learning and Deep Learning through applied projects and certifications, including Exploratory Data Analysis (NASSCOM FutureSkills Prime) and AI Fluency (Anthropic). Outside of development, I'm into content creation, video editing, and photo editing — it keeps my creative side sharp and often feeds back into how I think about UI and communication in my technical work. I'm currently focused on building real-world projects and preparing for opportunities where I can contribute as a developer. 🚀 Always open to learning, collaboration, and new opportunities.
Education
- 2028
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2024
High SchoolCBSE Class XII2024
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2022
SecondaryCBSE Class X2022
Skills
Tools / apps / platforms
Projects
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Python, Pandas, NumPy, Matplotlib, Jupyter
Cleaned, transformed, and analyzed datasets in Jupyter Notebook using Pandas and NumPy. Built visualizations with Matplotlib to identify trends and communicate findings clearly.
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Chart.js
Led a team to design and build a real-time typing speed analyzer, tracking WPM, CPM, and accuracy live during typing sessions with mistake detection and adjustable difficulty levels. Built a performance analytics dashboard with live-updating charts and pause/resume functionality.
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Python, FastAPI, Docker, pytest
Engineered a RESTful weather service with FastAPI that wraps the OpenWeatherMap API, exposing simplified endpoints for current conditions and 5-day forecasts. Implemented in-memory TTL caching and per-IP rate limiting, along with structured error handling and Pydantic-based input validation. Wrote an automated pytest suite, containerized the service with Docker, and deployed it on Render with interactive Swagger UI documentation.
Courses & certifications
- CCNA · Cisco Networking Academy · 2026
- Python Essentials 2 · Cisco Networking Academy · 2026
- Python Essentials 1 · Cisco Networking Academy · 2026
- Claude 101 · Anthropic · 2026
- AI Fluency: Framework & Foundations · Anthropic · 2026
- Exploratory Data Analysis · FutureSkills Prime (MeitY–NASSCOM Digital Skilling Initiative) · 2026
- Beginner Full Stack Web Development · Udemy · 2025
- Networking Basics · Cisco Networking Academy · 2025
🏆 Achievements & awards
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LeetCode Contest Rating 1437
LeetCode contest rating with max rating 1500.
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CodeChef Rating 872
CodeChef rating with max 900.
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HackerRank Certifications
5-Star in C, 3-Star in Problem Solving, and 2-Star in Python.
⚽ Extracurricular activities
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Hackathons
Competed in GDG 24-Hour Hackathon and MAIT Frontend Web Development Hackathon.
🎯 Hobbies & interests
- Movies & Filmmaking
- Content Creation
- Travel & exploring new places
- Japanese language & culture
- Volunteering & community events
- Photography & Videography