Manoj Yadav

About

I have completed my B.Tech in Mathematics and Computing with a minor in Computer Engineering from Delhi Technological University, achieving an 8.6 CGPA. I bring a solid foundation in data structures and algorithms, along with practical experience in full-stack web development. Passion for Programming: I'm genuinely passionate about problem-solving and logical thinking, as reflected in my commitment to programming, having solved over 450 DSA problems on Leetcode and GeeksForGeeks. Technical Skills: I'm proficient in C++, JavaScript, HTML5, CSS3, TypeScript, and React.js, along with Python, SQL, Next.js, Node.js, Express.js, Mongoose.js, Bootstrap, Matplotlib, Tailwind, FastAPI, Selenium, and BeautifulSoup. My database skills include MongoDB, Firebase, CosmosDB, and Azure Blob Storage. I am well-versed in DSA, OS, DBMS, OOP, Asynchronous Programming, Scalable Architecture, and Machine Learning techniques such as Random Forest, XGBoost, SVM, KNN, Clustering, Data Visualization, LangChain RAG, and GPT-4 LLM. Additionally, I am adept with tools like Azure Databricks, Vercel, Jira, Confluence, Slack, and Miro Board .I am also familiar with no/low code tools like Webflow. Work Experience: As a Web Developer at TerraDX Technologies Inc., I developed a custom chatbot using Next.js and TypeScript, reducing response time by 10 seconds, and integrated a model using FastAPI backend and LangChain RAG. I also architected a communication framework that increased system throughput by 50% and reduced latency by 35%. My work involved extracting and storing geological data using Selenium and BeautifulSoup, enhancing data accuracy and retrieval efficiency by 35%. Previously, as a Web Developer Intern at BuzzonEarth, I created a website for the Climate Hackathon at IIT Kanpur using React.js and developed the India MUN website using React.js and Firebase, supporting over 4000 students in registration and progress tracking. Projects: Notable projects include RNA classification using RandomForest, XGBoost, SVM, and LightGBM, boosting accuracy by 30%. I also developed the WORKSPACE project management app using React and Firebase, enhancing team productivity by 40%, and the ADVANCED YELP-CAMP website using Node.js, Express.js, MongoDB, and Google Maps API, achieving a 99.9% uptime. Collaborative Approach: I value teamwork and have consistently contributed to clean and maintainable code in collaborative settings. Proactive and Research-oriented: I approach problem-solving proactively and enjoy exploring innovative solutions, ensuring timely project completion through efficient planning. Adherence to Best Practices: I am committed to writing clean, maintainable code and am skilled in debugging and troubleshooting.

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