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Animesh Das

Hi, I'm Animesh Das - Senior Software Engineer at Google DeepMind

I'm driven by tackling complex AI and machine learning challenges, pushing the boundaries of what's possible. I thrive in deep-tech environments, collaborating with brilliant minds to build scalable, groundbreaking solutions that shape the future of artificial intelligence.

Google DeepMind
Mountain View, CA, USA
AI insights

At a glance

Curated signals on strengths, focus areas, and how they can help.

Graduated from Birla Institute of Technology and Science (BITS Pilani) and interned at Bhabha Atomic Research Centre.

Currently a Senior Software Engineer at Google DeepMind, focusing on advanced AI and machine learning.

Can help others by sharing insights on building scalable backend systems and leveraging AI for product development.

🚀 Career trajectory

Foundational Learning

Acquired core engineering principles and early practical experience during education at BITS Pilani and internships like at Bhabha Atomic Research Centre.

BITS Pilani

Internship

E-commerce Engineering

Developed foundational software engineering skills at Flipkart, focusing on backend and full-stack development within a fast-paced e-commerce environment.

Flipkart

Software Development

AI & Deep Tech Growth

Transitioned to Google, progressively taking on more senior roles, culminating in a Senior Software Engineer position at Google DeepMind, focusing on cutting-edge AI research and development.

Google

DeepMind

AI

Machine Learning

💪🏻 Superpowers

AI Innovation Architect

Driving cutting-edge advancements in artificial intelligence.

Developing and implementing advanced machine learning models at Google DeepMind.

Leveraging deep technical expertise in AI to solve complex industry problems.

Contributing to next-generation AI research and product development.

Scalable Systems Builder

Crafting robust and efficient software infrastructure.

Designing and building backend systems with a focus on scalability and performance.

Experience with distributed systems, data processing, and cloud technologies.

Ensuring reliability and efficiency in large-scale software deployments.

Cross-Disciplinary Technologist

Bridging hardware and software with deep foundational knowledge.

Proven ability to work across diverse technical domains, from VLSI to web development.

Experience in both embedded systems and high-level AI applications.

Translating complex requirements into practical, innovative technical solutions.

I'm excited about

Connecting with leading researchers and engineers in AI and ML.

Discovering emerging trends and collaborative opportunities in AI innovation.

Finding mentors and peers to discuss challenges in scalable AI system design.

I can help with

Sharing insights on building robust and scalable backend systems.

Providing guidance on leveraging AI and machine learning for product development.

Offering perspectives on navigating complex technical challenges in software engineering.

I would love your help on

Identifying collaborators for novel AI research projects.

Receiving introductions to experts in specialized AI subfields.

Gaining insights into emerging opportunities within the AI startup ecosystem.