Ankush Saxena — Software Engineer
I’m a Platform and AI Engineer passionate about building intelligent, scalable systems that power next-generation applications. With a strong foundation in distributed systems, DevOps,AWS,K8s,Ansible,Terraform, AI/ML and MLOps, I specialize in bridging the gap between AI research and production infrastructure. My work focuses on developing AI-powered platforms, including recommendation systems, retrieval-augmented generation (RAG), reinforcement learning (RL)–based control systems, and observability pipelines for real-time inference and feedback loops. I’ve built microservices and pipelines for model training, deployment, and monitoring at scale, and I’ve designed adaptive systems that use RL to tune infrastructure parameters (like circuit breakers or autoscaling thresholds) dynamically. In the retail domain, I’ve developed models for personalized product recommendations, dynamic pricing optimization, inventory forecasting, and customer segmentation using transformer-based architectures, time-series analysis, and reinforcement learning.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI and MLOps within the SaaS industry.
Location: Bengaluru, Karnataka, India
Experience: 10 yrs 2 mos
Skills
- Mlops
- Aws
- Kubernetes
Career Highlights
- Expert in building AI-powered platforms and scalable systems.
- Proficient in MLOps and AWS for intelligent infrastructure.
- Experience in developing advanced recommendation systems.
Work Experience
Walmart Global Tech India
Staff Software Engineer (11 mos)
Walmart Global Tech
Senior Software Engineer (4 yrs 8 mos)
Amazon
Software Engineer (8 mos)
Accenture
Senior Software Engineer (3 yrs 11 mos)
ISRO - Indian Space Research Organization
Summer Intern (1 mo)
Education
Master of Technology - MTech at Indian Institute of Science (IISc)
Bachelor of Engineering (BE) at Acharya