Aditya Jagdale — Software Engineer

I’m a Computer Science undergraduate at IIT Kanpur with a strong focus on Artificial Intelligence and Machine Learning. My work sits at the intersection of theory and practice. I enjoy breaking down complex problems—whether it’s understanding failure modes in deep learning models, improving robustness under distribution shifts, or building ML systems that actually work at scale. I’ve worked on projects involving adversarial machine learning, domain adaptation, neural networks, and applied deep learning, with hands-on experience using PyTorch, Python, and modern ML tooling. Previously, I interned with Google, where I was exposed to large-scale systems, high-quality engineering practices, and real-world ML constraints. This experience reinforced my interest in building reliable, production-ready ML models rather than just experimenting in notebooks. I value clarity, strong fundamentals, and rigorous thinking. Whether it’s research-oriented work (reading papers, experimenting, analyzing results) or engineering-focused tasks (designing pipelines, debugging models, optimizing performance), I aim to deliver work that is accurate, explainable, and impactful. I’m actively exploring opportunities in AI/ML Engineering, Applied Research, and Research Intern roles, where I can continue learning, contribute meaningfully, and work on challenging problems with smart teams. 📩 Open to collaborations, internships, and research discussions.

Stackforce AI infers this person is a proficient AI/ML Engineer with a strong foundation in software infrastructure and leadership.

Location: Kanpur, Uttar Pradesh, India

Experience: 2 yrs