Vivek Kumar — Lead ML Engineer

I am a high-performing software engineer with 4+ years of experience, currently working at Salesforce. I earned my bachelor's degree in Computer Science from IIT Guwahati. Some of my achievements include: 1. Received the prestigious Tech & Prod All-Star Award, recognizing the top 1% (159 out of 16k) of all technology and product professionals at Salesforce, presented by the President of Engineering. 2. 3 times recipient of Spot Bonus Award for exceeding performance expectations in a quarter. 3. Received Instant Karma Award for high performance in Retail Org, only one to get it among all freshers. 4. Achieved rating of 1639 (Expert) on Codeforces, 1863 on Codechef, 5 star in problem solving on Hackerrank, and a score of 55k on Interviewbit. 5. Secured All India Rank 464 in IIT-JEE among 1 million candidates. At Salesforce, I am working on ML and AI-driven initiatives within Salesforce’s observability platform, including metric and log-based anomaly detection & alerting, log patterns analysis and LLM-powered agent for Incident Response. These projects significantly improve incident Time-To-Detect (TTD) and Time-To-Resolve (TTR) for thousands of services in Salesforce ecosystem. During my tenure at Flipkart and Salesforce, I have worked on large-scale distributed systems involving technologies such as Java, Golang, Docker, Kubernetes, AWS, PostgreSQL, Kafka, S3, ML Libraries like Scikit-Learn, Merlion, Prometheus, etc. My work includes building services in a microservices architecture, applying ML and AI to observability uses cases to reduce TTD/TTR, designing and implementing applications to extend Kubernetes control plane functionality for autoscaling use cases.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in cloud infrastructure and machine learning.

Location: Agra, Uttar Pradesh, India

Experience: 4 yrs 8 mos