I’m Manas Dhawan, an aspiring Artificial Intelligence & Machine Learning Engineer with a strong foundation in full-stack development, data science, and software engineering. Currently pursuing a degree in AI & ML Engineering, I specialize in building intelligent systems that drive innovation across domains—especially at the intersection of law and technology.
With expertise in Python, C, React.js, Node.js, and SQL, I have developed and deployed end-to-end solutions ranging from crop prediction models using machine learning and deep learning to advanced LLM-powered legal judgment generators that analyze case facts and recommend laws using the Indian Constitution, IPC, and CrPC.I’ve worked on diverse projects involving natural language processing (NLP), neural networks, data structures & algorithms (DSA), and web development. My recent internship involved designing an AI-based credit risk model using real-time financial data, sharpening my analytical, research, and modeling skills.
Beyond technical skills, I’m passionate about LawTech, ethical AI, and building scalable solutions for public impact. I actively contribute to open-source, participate in hackathons, and constantly upskill through platforms like Kaggle, GitHub, and Upskill.
I’m highly motivated, growth-driven, and collaborative—always eager to learn new technologies like LLMs, vector search (FAISS), LangChain, and OpenAI APIs. I aim to innovate in legal informatics, justice automation, and responsible AI systems.
Skills: AI/ML · Deep Learning · NLP · React.js · Python · C · SQL · REST APIs · Git · DSA · Full-stack Development🛠️ Tools & Frameworks: TensorFlow · scikit-learn · Pandas · LangChain · FAISS · MongoDB · GitHub
Domains: LawTech · FinTech · AgriTech · EdTech · AI for Justice
I believe in building AI with purpose, precision, and positive impact.