Since my first AI project—a face recognition system—I’ve been captivated by how neural networks enable machines to perceive and make decisions. This curiosity evolved into a career dedicated to building machine learning systems at scale, blending innovation with impact.Over the years, I’ve transitioned through roles as an AI Intern, Data Scientist, Lead Machine Learning Engineer, and Research Assistant, refining my skills in Python, PyTorch, and data visualization. My journey includes impactful projects, such as:Boosting OCR accuracy: At Mastech Infotrellis, I developed a Python-based OCR pipeline using Google Cloud and Docker, improving accuracy from the mid-70% range to 88% with post-processing techniques.Optimizing recommendations: Created a data pipeline and recommendation algorithm that reduced processing time by 40% and increased recommendation accuracy to 80%.Transforming ESG insights: At Boston University, I fine-tuned a Large Language Model for ESG data extraction, improving efficiency by 20% for better decision-making.Teaching and mentoring have been integral to my journey. Since January 2020, I’ve taught Python and AI to over 2,500 students at online coaching institutes in India, shaping curriculums and guiding individuals toward mastering cutting-edge advancements.My short-term goal is to deepen my expertise, balancing the roles of researcher and engineer while contributing to high-impact AI projects. Long-term, I aspire to lead a team of AI engineers, building transformative systems, ideally in the medical domain.What excites me most is seeing AI models I develop solve real-world problems, whether it’s a face recognition system handling obscure data or an NLP model delivering actionable insights.Beyond work, I’m an avid chess player (current chess.com Elo: 1800, aiming for 2000) and a self-taught enthusiast inspired by Magnus Carlsen. I enjoy watching channels like Kurzgesagt for their visual explanations of complex topics and Coffeezilla for exposing scams and promoting digital vigilance.From leading a team of engineers at a stealth startup to curating GAN-based sticker generators during my first internship, I bring a blend of technical acumen, problem-solving, and creativity to every project I undertake. I thrive on delivering solutions that combine technological depth with tangible impact.