Vishal Bhalla

About Vishal Bhalla

As a seasoned Software Engineer, my journey in the tech realm has been a tapestry of designing and fine-tuning backend systems that don\'t just work—they excel. At Morgan Stanley, I steered my team through the labyrinthine complexities of transitioning our Enterprise Resource Planning system to a lean, efficient microservices structure. It was akin to re-engineering a bustling city\'s transportation network, and we used Docker and Kubernetes as our cornerstones, achieving a remarkable elevation in scalability and deployment efficiency.Python has been my trusty sidekick throughout, whether I\'m developing cost and capacity planning tools or creating web apps integrated into a continuous delivery process. Just as a linguist knows that languages shape thoughts, I\'ve always held that the choice of a programming language can deeply influence the design, scalability, and efficiency of a solution. With Python, I\'ve been able to meld flexibility with performance.Venturing into the realm of real-time data, I\'ve harnessed the prowess of Apache Kafka and Spark. Imagine tracking every drop of rain in a storm to predict its next move; that\'s analogous to how I utilized these tools at Morgan Stanley, gaining invaluable insights from vast server log datasets, allowing us to pinpoint anomalies and predict trends.I\'ve worn many hats—team leader, developer, strategist—but at my core, I\'m someone who believes in the transformative power of technology. Whether I\'m anticipating server needs half a year in advance or slashing infrastructure costs dramatically, my eyes are always on the horizon, looking for the next challenge, the next problem to solve.In a hypothetical scenario where an e-commerce platform struggles with Black Friday traffic surges, I\'d delve deep, revamping its backend to handle ten times its current load, integrating real-time data analysis to predict and manage traffic spikes, and ensuring that no customer is left waiting.I\'m here, on LinkedIn, to connect with like-minded professionals, share insights, and explore collaborations. Let\'s redefine what\'s possible, together.

Experience

1. Senior Software Engineer

   Walmart Global Tech

   Jan 2024 — Present · NY, US

   Building Agents that respond to cost data and integrate with Walmarts super agent \'WIBEY\'- Defined and implemented the RAG layer to provide Walmart specific context to our agent and integrated it within the A2A protocol itself performing query building using MCP tools - Built Python Flask microservices (OpenAPI 3.0) for capacity recommendations—standardized pagination, versioning and error models across 8 endpoints- Introduced a GraphQL gateway for ad‑hoc analytics queries, slashing front‑end over‑fetch by 40%- Implemented OAuth 2.0 and JWT‑based authentication/authorization for all internal cost‑optimization APIs. Adopted AES encryption for sensitive payloads, hardening data‑at‑rest and in‑transit- Built rate‑limiting and throttling (via Kong) to safeguard services against traffic spikes- Configured Kubernetes HPA, custom load‑balancing rules and fault‑tolerance probes—driving 99.9% uptime- Ingested Cloudability API cost data into Azure SQL; correlated spend with utilization to surface $80 M in FY24 savings opportunities- Tuned Azure SQL and PostgreSQL: implemented composite indexes and table partitioning, reducing heavy‑report query times by 30%- Evaluated Cosmos DB vs. Cassandra for high‑volume time‑series cost ingestion—selecting the right mix to boost write throughput 3×- Designed “Holiday Scaling” alert logic to flag workloads that don’t scale back post‑holiday, unlocking ~$2 M in avoidance savings- Leveraged event‑driven patterns for near‑real‑time budget tracking, delivering sub‑minute visibility into anomalous spend- Containerized all services with Docker; codified infra in Terraform; automated end‑to‑end GitLab CI/CD pipelines, cutting env‑provision time from days to hours- Instrumented Splunk for log aggregation and Prometheus/Grafana for metrics—built live dashboards that catch regressions before they hit production- Author custom KQL queries in Azure Monitor to auto‑alert on cost‑overrun patterns and throttle rules violations

Education

• Mithibai College

  H.S.C, Science

  2010 — 2012

• University of Mumbai

  Bachelor of Engineering (B.E.), Electronics and Communications Engineering

  2008 — 2012

• Rutgers University

  Master's degree, Computer Science

  2015 — 2017

• Lilavatibai podar high school

  10th, Mathematics and Computer Science

  2000 — 2010

• University of Mumbai

  Bachelor's degree, Electrical, Electronics and Communications Engineering