Avnish Kumar

Senior Software Engineer

Bellevue, Washington, United States11 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building scalable AI/ML infrastructure.
Led development of critical GenAI hosting solutions.
Co-founded an IoT/AI startup managing extensive fuel data.

Stackforce AI infers this person is a Cloud Computing and IoT expert with a focus on AI/ML solutions.

Contact

Skills

Core Skills

Cloud ComputingDistributed SystemsSecurity ArchitectureAiDeep LearningIotMachine LearningEtlSoftware Development

Other Skills

KubernetesAWSData AnalysisPythonDjangoApache AirflowSQLSoftware EngineeringProduct DevelopmentProgrammingAlgorithmsEngineeringProgram ManagementProduct ManagementImage Processing

About

I am a Senior Software Engineer with AWS Bedrock, where I specialize in building secure, scalable infrastructure for AI/ML workloads. My work focuses on cloud computing, distributed systems, and high-performance deployment architectures for generative AI models. With deep expertise in Kubernetes, load balancing, and cloud-native optimization, I am passionate about designing resilient systems that deliver exceptional performance, reliability, and security at global scale.

Experience

11 yrs 3 mos

Total Experience

3 yrs 5 mos

Average Tenure

5 yrs 9 mos

Current Experience

Amazon web services (aws)

Senior Software Engineer

Aug 2020 – Present · 5 yrs 9 mos · United States

Senior Cloud Infrastructure Engineer specializing in secure, scalable AI/ML platforms | Led architecture and implementation of GenAI hosting in Bedrock AWS - a critical infrastructure powering AI models serving thousands of customers and processing millions of requests every day
🔹 Expertise in designing zero-trust networking, defense-in-depth security architectures, and high-performance distributed systems
🔹 Architected secure service mesh solutions for AI model access using cutting-edge AWS services
🔹 Strong focus on operational excellence and building maintainable infrastructure at scale
Currently working on next-generation infrastructure solutions for large language models and AI workloads at AWS. Passionate about solving complex distributed systems challenges while maintaining highest security standards.

Cloud ComputingDistributed SystemsKubernetesSecurity ArchitectureAWS

Cornell tech

Masters Candidate

Aug 2019 – May 2020 · 9 mos · New York City Metropolitan Area

Specializing in AI, Deep Learning, and Distributed Systems

AIDeep Learning

Briston technomach pvt. ltd.

Lead Software Engineer

Jan 2015 – Sep 2017 · 2 yrs 8 mos · Greater Delhi Area

Developed ETL pipeline collating machine data from 17 devices and 5 platforms to the data warehouse on AWS RDS.
Designed and developed IOT device health management system with backend on Python/Django and SQL
Led and formed team of 5 (Three Engineers one Designer and one Data Analyst) to design and implement FuelArk SaaS which is the largest contributor (85%) in the recurring revenue of the company
Led Research and Development of FuelArk IOT Hardware and integration with the cloud delivering alerts and notifications with 98% accuracy to customers. First company in India to achieve it (Patent Applied)
Design and development of ‘Assisten’, IOT based energy management system and integration with Fuel Monitoring of DG sets to gauge engine efficiency of Gensets. Second company to develop this in India.

PythonDjangoSQLSoftware Development

Briston technomach

CTO

Nov 2014 – Aug 2019 · 4 yrs 9 mos · Greater Delhi Area

Co-Founded Briston Technomach, an IoT/AI B2B startup in Fuel and Fleet Management. It manages 5 Million liters of fuel, monitors 3000+ heavy equipment and serves over 100+ clients
● Led a team of 5 comprising of Engineers, Data Analysts and a Designer to design and implement FuelArk Mobile and web applications
● Developed near real-time anomaly detection models to monitor and generate alerts in case of Fuel Thefts/ Fillings by analyzing streaming time-series data
● Deployed Machine Learning based intelligence features like Random Forest Classification for preventive
maintenance and real-time alerts leading to significant cost savings to clients
● Developed ETL pipeline which collected telematics data from 3000+ devices and 5 IoT platforms to AWS RDS using Apache Airflow.
● Designed and developed IOT based reporting system with backend on Python/Django, AWS and MySQL as database which manages over 40 million data points from vehicles/day

IoTMachine LearningData AnalysisETLPythonDjango