Package . 2 products

Resume Review & Mock for Big Tech

Get FAANG-ready: Resume & mock with a Google AI/ML SWE
Mock interview
Video Meeting
1
Resume review
Video Meeting
1
$32
Best Deal
Priority DM . 2 days reply

Have a question?

$3
Video meeting . 30 mins

Interview prep & tips

$14
Video meeting . 30 mins

Career guidance

$14
Video meeting . 30 mins

1:1 Mentorship

$14
Popular
Priority DM . 2 days reply

Priority DM

$3
Priority DM . 2 days reply

Ask me anything

$3
Popular
Video meeting . 30 mins

Resume review

$14
Video meeting . 30 mins

Quick chat

$14
Video meeting . 60 mins
5

Mock interview

$25

Ratings and feedback

5/5
4 ratings
4
Testimonials
5/5
Had a great session. He explained everything thoroughly and in a very clear, easy-to-understand way. Really helpful and insightful.
5/5
Tuhin is very knowledgeable and helpful person. He shared the best of the solutions to all of my queries. If anyone is looking for some guidance on any topic related to data science or AI, then he should definitely reach out to Tuhin.

About me

I am a Software Engineer III at Google, specializing in building production-grade AI/ML systems that operate reliably in complex, real-world environments. With around five years of experience, my work focuses on the intersection of applied machine learning, large-scale distributed systems, and Generative AI. Technical Focus: • Languages: Python, C++, Java • AI/ML & Frameworks: PyTorch, Deep Learning, Computer Vision, Generative AI • Optimization & Deployment: Edge AI, Model Optimization (Inference & Latency), Distributed Systems Professional Background: • Google: Currently focused on AI/ML infrastructure and scalable solutions. • Netradyne: Previously served as an ML Scientist, where I developed and deployed real-time computer vision and perception systems for automotive safety. These systems operated under strict latency constraints, requiring deep optimization of inference pipelines and cross-functional collaboration with hardware and backend teams. • NVIDIA & Research: During my M.Tech at IIT Hyderabad, I interned at NVIDIA, focusing on distributed deep learning pipelines and large-scale training workflows. • Foundational Engineering: My early career as a Backend Software Engineer provided me with a rigorous foundation in distributed systems and building high-availability services. Highlights: • Contributing to patented innovations in AI/ML. • Optimizing large-scale training and inference for production efficiency. • Designing architectures that bridge the gap between theoretical research and reliable, real-world deployment.