Krishnaditya Kancharla
Currently working as an AI/ML lead for strategic engagements of Google. I’m thrilled to be at the forefront of AI, a technology poised to reshape our world as profoundly as bipedalism did for our ancestors.
Having 5+ years of experience working at Hyperscalers like Amazon Web Services and Google Cloud, I have implemented end-to-end ML systems for our clients, which include many of the Fortune 100 companies. Driven by the belief that AI represents humanity’s next evolutionary step, I’m building intelligent systems that will push the boundaries of what’s possible.
Industry & Research Experience
AI/ML Lead for strategic enterprise engagements at Google, architecting and deploying production Applied AI and Generative AI systems.
Architected enterprise Generative AI solutions and foundation model workflows for strategic customers on AWS.
AI/ML Lead for strategic enterprise segment in AWS Professional Services, implementing end-to-end ML systems for Fortune 100 clients.
Conducted graduate research on statistical machine learning methodologies for social sensing.
Conducted exploratory analysis on Bank Telemarketing data, developed an automated recommendation engine inference pipeline on Amazon SageMaker, and built CSAT/NPS Customer Experience dashboards on Amazon QuickSight.
Designed and deployed critical ML workloads on AWS (MySQL, SageMaker, Python3, TensorFlow, PyTorch, Docker, Pandas, Scikit-learn); led a team of 16 associates to improve SLA by 37.5%; awarded AWS Superstar of the Quarter (Q4 2020).
Analyzed resource metrics and log dumps for fault localization; oversaw Enterprise Escalations; developed CloudFormation templates and Python monitoring scripts that improved internal application uptime by 40%.
Undergraduate Teaching Assistant under Prof. Nida Bakereywala.
Built supervised and unsupervised ML models on 2000–2010 ODI cricket data, including CNN player facial recognition, GMM batting style clustering, and 94.5% accurate venue score prediction.
Analyzed downtime reports for predictive maintenance, configured fault-tolerant DHCP/DNS servers via Bash, and implemented Dynamic NAT routing.
Education
Publications & Certifications
Krishnaditya Kancharla, Varun Kamble, Mohit Kapoor · IEEE Xplore (DOI: 10.1109/ICACAT.2018.8933575) ↗
Google Cloud Professional ML Engineer · 4x AWS Certifications · Deep Learning Specialization · Amazon ML University Graduate.
Languages: Python3, C, C++, Java, Go, HTML, CSS, Bash, MySQL, R
ML & Data: NumPy, Pandas, Sklearn, Seaborn, TensorFlow, PyTorch, Tableau, Power BI, QuickSight
Frameworks & DevOps: Hadoop, Spark, Kafka, Docker, Kubernetes, Terraform, Jenkins, Chef, Ansible, Puppet, ECS, CodeDeploy, Cloud Functions, Flask API, MongoDB, Git