🧑‍💼 About Me

I am Anurag Sharma, a passionate software developer with a strong foundation in computer science, psychology, and artificial intelligence. With experience in human-computer interaction, NLP, cognitive science, and AI-driven automation, I constantly seek to bridge the gap between technology and human cognition.

Currently, I work at OpenNLP Labs, where I focus on cutting-edge AI solutions. My previous experience includes working as an International Research Assistant at CMU and contributing as an Undergraduate Research Assistant in neonatology at RML Hospital, reflecting my interdisciplinary approach to problem-solving.

My technical expertise spans multiple domains, including:
✅ AI & NLP – Building intelligent agents for voice, text, and sign language processing
✅ Software Development – Creating scalable applications using Python, Dart, and other modern technologies
✅ Automation & RPA – Streamlining workflows for KPI generation, reporting, and AI-based automation
✅ Human-Computer Interaction – Designing user-centric experiences that integrate psychology and AI

Beyond my work, I am deeply committed to mentorship and community building, actively engaging with students through GDG initiatives and teaching. My mission is to enhance accessibility, learning, and engagement through AI-driven solutions while fostering the next generation of technologists.

📌 Always exploring new ideas in LLMs, cognitive computing, and interactive AI systems. Let’s connect and innovate together! 🚀

📚 Education

• Dr. A.P.J Abdul Kalam Technical University, Uttar Pradesh, Lucknow
  • Bachelor of Technology in Computer Science & Engineering
  • Aug. 2021 – May 2025
  • Relevant Courses: Deep Learning, Data Structure & Algorithm, Computer Networking, Operating System, Artificial Intelligence
• Indira Gandhi National Open University (IGNOU), New Delhi
  • Bachelor of Arts (Hons) in Psychology
  • July 2022 – Aug. 2025

💼 Work Experience

• Full Stack Developer at OpenNLP Labs
  • Sep 2024 – Present
  • Worked as a member of lead engineers on different AI project.
  • Developed a handwriting assessment system to evaluate stroke accuracy and writing quality.
  • Researched and integrated handwriting recognition techniques like NodeJS, React, and Python (trained model) to improve the app’s ability to assess writing quality and stroke accuracy, leading to more precise, actionable feedback and better student learning outcomes.
• Undergraduate Research Assistant at Xu lab@CBD_SCS_CMU, Carnegie Mellon University
  • June 2023 – Dec. 2023
  • Worked on a Deep Learning technique that reduced diagnostic errors on proteins by 25%.
  • Designed some 3D image analysis for cryo-electron tomography.
  • Employed machine learning methods, including using PDA data to train cell models.

🛠️ Skills

• Languages: Python, Java, HTML5, CSS3, JavaScript, TypeScript
• Frameworks and Libraries: React, React Native, PyTorch, TensorFlow, NumPy, Matplotlib, Pandas
• Tools: Anaconda, Git, GitHub, Linux, Jupyter Notebook, Google Colab, MySQL, Docker, VS Code, MongoDB, RestAPI, GraphQL

📜 Projects

• Integrated Development Environment (IDE)
  • React, Node.js, JavaScript, HTML, API
  • Developed a seamless platform for coding and debugging in programming contests.
  • Enabled real-time compilation for 5+ programming languages, improving coding efficiency.
  • Features syntax highlighting, code auto-completion, and error detection.
  • Enabling multiple users to collaborate on the same code simultaneously.
• Pedagogical Innovation
  • MongoDB, Express, React, and Node.js, HTML, JavaScript
  • Developed a comprehensive learning platform using React Framework in my college offering 50+ courses and enhancing educational access.
  • Deployed secure user authentication and role-based access control.
  • Enabled student enrollment and progress tracking for 500+ students.
  • Integrated responsive design and discussion forums, boosting engagement by 50%.
• LLM Models
  • Python, TensorFlow, PyTorch
  • Developed and fine-tuned large language models (LLMs) for various NLP tasks.
  • Implemented models for text generation, summarization, and translation.
  • Achieved state-of-the-art performance on multiple benchmarks.
  • Integrated models into a user-friendly web interface for easy access and interaction.

🏆 Extracurriculars & Achievements

• TVS E.P.I.C Season 5 Campus Challenge finalist
• Top 25% LeetCode Programmer: Achieved top 25 rankings, showcasing strong analytical and algorithmic skills.
• Google Developer Group (GDG) campus Co-Lead: Conducted workshops and activities for 500+ students, building a strong campus developer community.
• Deputy Coordinator, T&P Office: Managed recruiter interactions and organized placement drives for 100+ students.

🌐 Links

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📧 Contact

• Email: anuragsharma58693@gmail.com
• Phone: +91-9289553036