I am into
Generative AI
"Transforming Ideas into Impact: Where Text, Images, and Video Come to Life!".
Machine Learning
"Tailoring ML workflows with a human-in-the-loop (HILo)."
Architect
"Turning Ideas into Scalable, Seamless Solutions."
Experienced Creative mind
"Lets make the world a better place with the help of Art & AI"
As a seasoned Machine Learning Engineer & AI Developer with over six years of experience, I specialize in building scalable, efficient, and innovative AI solutions. My expertise spans developing HiLo systems, automated ML workflows, optimizing models for performance, and driving AI innovations across industries. I have worked on transforming ML operations by integrating Kubeflow into the ML Platform, reducing training time by 60% and simplifying complex ML pipelines, streamlining Model Inference, Active Learning, and building defect detection systems. I’ve also contributed to open-source blockchain innovations under the Linux Foundation.
My passion extends beyond technical execution to fostering collaboration and mentorship. From guiding teams on AI best practices to delivering impactful technical enablement sessions, I thrive at the crossroads of innovation and leadership. Currently, my research focuses on distributed training, model optimization, and inference advancements for large language models, reflecting my commitment to staying at the forefront of AI. Let’s connect to explore transformative strategies and harness AI’s potential for meaningful outcomes.
6+
years of Industry Experience.
5+
Certifications in AI, Data Engineering & Cloud.
17+
Projects Completed
Education
Masters in Information Science
(Machine Learning specialization)
University of Arizona, Tucson, US
Bachelors in Computer Science
Maulana Azad National Institute of Technology, Bhopal, India
Skills
Technical Skills
Coding Languages
Machine Learning & AI
Databases & Analytics Tools
DevOps & Cloud
Design & Animation
Others
People Management & Functional Competencies
Certifications
Certifications Earned
Google Certified Data Engineer
Google Certified Professional Machine Learning Engineer
Tensorflow Certified Developer
Google Certified Ass. Cloud Engineer
AWS Certified Developer Associate
Work Experience
- Streamlined ML workflows by establishing a Kubeflow environment for model deployment, distributed training, inferencing, and drift detection, using a custom SDK that reduces pipeline deployment and infrastructure config to under 5-6 lines of code.
- Built the HILO system framework and integrated it with Kubeflow for continuous model monitoring, incorporating drift detection, ground truth collection, model grading, and retraining.
- Optimized distributed training workflows for in-house multi-GPU and CPU environments, reducing training time by nearly 60%.
- Optimized ML/DL libraries for OneAPI Analytics Toolkit and onboarded customer use cases on the Intel AI Analytics Platform.
- Fine-tuned models through Intel's Neural Compressor for efficient execution on Intel's CPU and GPU processors, using model quantization from FP32 to BF16/INT8 precision, resulting in approximately a 30% reduction in inference time.
- Worked on L4/L5 support tickets for customers on PyTorch and TensorFlow.
- Led customer outreach campaigns, providing training and workshops, showcasing performance improvements with Intel OneAPI Toolkit, enabling successful adoption of Intel AI solutions.
- Proficient use of Google Cloud Platform services such as Google Kubernetes Engine (GKE), Big Query, Pub/Sub, BQML, and Dataflow.
- Engineered AI-driven solutions for Assembly/ Cosmetic Inspection and AutoML, with an emphasis on Edge and IoT core integration.
- Deployed custom Deep Learning Models like CNN, Resnet50V2, Faster RCNN for use cases such as AI Worker Tracker, AIVI Utility Pole Inspection, and Shelf Stock Monitoring to detect and track objects in video streams and recognize user-defined defect instances in images, achieving over 90% accuracy with around 60% less inference time.
- Collaborated on Google's Cloud Smart Solution, Integrated Digital Twin Solutions with smart ELT pipelines for data ingestion and processing, Looker Dashboards for monitoring and data analysis, resulting in 40% reduction in overall EDA timelines. Defined end-to-end technical architectures while supporting client onboarding.
- Contributed to Open-source project under Hyperledger Labs, Linux Foundation.
- Automated various DLT platforms, including Hyperledger Fabric, Hyperledger Indy, and Quorum, using Docker, Ansible, Kubernetes, and Helm Charts to deploy production-ready DLT platforms in under 30 minutes.
- Successfully upgraded Bevel to Hyperledger Fabric 2.2.0, implementing Chaincode Lifecycle 2.0 with Java support.
- Conducted enablement sessions and a Hackathon to promote Hyperledger Bevel and Blockchain Technologies.
- Shared an Open-source YouTube demo on YouTube
Projects Portfolio
Dive into some of the amazing projects related to Machine Learning, AI, Computer Vision, Blockchain & Game Development.
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Contact Me
Let's talk about AI and how we can transform the world?
Contact Information
- Name: Himanshu Lal
- Email: himanshulalarya@gmail.com
- LinkedIn: Visit
- Phone: +1 520 401 0328