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Malhar J
@malharj
AI Engineer Senior Compiler Engineer
India
Engels, Hindi
Over mij
I’m an AI and Compiler Engineer focused on building high-impact, business-driven solutions. With 8+ years of experience, I specialize in LLVM-based CPU/GPU compilers, ML/AI compilers, transpilers, and DSLs. I bring strong expertise in computer vision, generative AI, and reinforcement learning, along with full-stack development experience. Through my startup, RealDeed, I’ve also developed deep domain knowledge in real estate across India and the UAE.
Skills
Malhar J
offline •
Gemiddelde reactietijd: 1 uur
Bekijk mijn diensten
Bugfixes
I will optimize your code for high performance
Werkervaring
AI Research Assistant
Imperial College London • Fulltime
Jul 2016 - Sep 2016 • 2 mos
Worked as Research Assistant at Imperial College London. Currently Neural networks make incorrect predictions with high confidence (eg: high softmax output). This can be a big problem, especially in the context of safety-critical applications like autonomous vehicles where "trust" on the output is important. This project explored a method to prevent the network from making a prediction whenever it is uncertain (epistemic) about an input. Explored Bayesian methods for Predictive Uncertainty Estimation in Neural Networks in presence of ambiguous inputs. The task was to find a way to make the Neural network say “I know” or “I don’t know” on seeing an ambiguous input. For inputs that are classified as "I don't know", the network can refrain from making a prediction (and hence reduce confident but false predictions). Work involved Literature survey and prototyping a solution (using Tensorflow, Numpy, etc.). The literature survey involved reading up work on Bayesian Networks (MCDropout, GPDNN, BNN, CNN) and papers from important ML conferences like NIPS, ICML, etc.
