Experience

Sr. AI Engineer

Intel Corporation

  • LLM Enablement & Distributed Training: Enabled and scaled LLM training on Intel Gaudi 2 & 3 accelerators using DeepSpeed, Megatron-LM, with various distributed parallel strategies; productionized distributed checkpoint conversions for Hugging Face compatibility to external customers.
  • Optimized Edge AI: Designed and deployed Intel Automated Vision Checkout at retail sites in India, achieving low-latency (~70ms) deep learning inference and scalability on Intel’s integrated GPU, supporting 100+ daily transactions at the store front.
  • Federated AI: Contributed to Linux Foundation’s securefederatedai/openfl by introducing JAX/FLAX support, federation long and short lived component timeout feature, and interactive examples for secure, efficient federated learning on private medical records.
  • Data Pipelines: Built an event-driven, cost-optimized AWS data pipeline, reducing costs by 8x and publishing product data in 5 minutes (down from 6 hours), supporting ~40M API hits monthly.
  • LLM Fine-Tuning as a Service: Designed a ZenML/cnvrg.io-based fine-tuning framework for internal use as a premium offering.
  • Performance Profiling: Experience in accelerators compute/memory profiling, device & host trace analysis to optimize distributed training workloads and application level optimization for edge inference.
  • Outreach: Presented demos and delivered technical talks on cloud cost optimization and product innovations at Intel India Innovation day, Intel ConnectiON and Intel India tech talk series (Cloud Community of Practice) events.

Software Engineer

Western Digital (SanDisk)

  • As a part of Competitive Analysis team, Successfully developed a Performance Studio client server distributed application from idea to inception for internal teams to benchmark, test, validate & qualify uSD, SD cards & enterprise SSDs.
  • Experience in configuring and chaining 48/24 ports Brocade Network switches & tune power class ports to support 80+ PoE cameras for automated uSD/SD card testing.

Software Engineer Trainee

sketchmyroom (Rhythm of space)

  • Interiors and architecture design-related experience with Full Stack Web Application Development. Primarily responsible for the development of a backend application that exposes in-house portfolios to clients via APIs, giving clients access to a variety of architecture designs offerings and an online customization option.

Engineering Trainee/Intern

Bharat Sanchar Nigam Limited (BSNL)

  • Acquired practical exprerience with Operational testing of wireless equipments, configured router, modems and mainline distribution frames. Hands on approach to optical fiber fusion splicing, monitoring various signal parameters using OTDR devices and its functioning at various stages.
  • Foundational learnings on Digital Switching & Transmission Systems, Telecom support infrastructure, Optical Fiber technology, Networking & mobile communications etc.

Education

MSc. Artificial Intelligence

Liverpool John Moores University

Thesis on “Effectiveness of Knowledge Distillation on various neural network architectures”.
Read Thesis

7th Summer School, Machine learning

IIIT Hyderabad

PGD in Machine Learning

IIIT Bangalore

Coursework
Probability & Statistics
Exploratory Data Analysis
Supervised & Unsupervised Machine Learning Natural Language Processing
Deep Learning for Computer Vision
Reinforcement Learning
MLOps

Capstone CycleGAN - Style Transfer using Generative Adversarial Network (GAN) - Built a Generative adversarial model (modified U-Net Architecture) that generates artificial T1 to T2 and vice-versa MRI images of different contrast levels from existing MRI scans.

B.E. in Electronics & Communication

Visvesvaraya Technological University

Skills & Hobbies
languages
Python
C++
Java
library/frameworks
PyTorch
JAX
Transformers
Megatron-LM
Practices
Clean Architecture
Domain driven design
Software Architecture
Awards
Certification on Accelerators for Deep Learning
IIT Roorkee ∙ November 2024
Executive certificate on Accelerators for Deep Learning covering deep learning algorithms and computer architecture with an emphasis on AI acceleration on various computing systems, such as FPGAs, mobile/desktop GPUs, smartphones, ASICs, DSPs and CPUs.
Rockstar of the Year
Intel Corporation ∙ December 2023
Recognized as ‘Rockstar of the Year’ for consistently delivering on commitments and exceeding performance goals within the short span.
Languages
100%
English
90%
Hindi
75%
Kannada