Feb 2025 – Sep 2025 · 7 mos

• Led multiple client engagements as a Senior Software Engineer, helping startups and mid-scale enterprises modernize their software infrastructure and streamline development workflows.
• Architected and deployed scalable microservices-based systems aligned with business use cases - leveraging Docker, Kubernetes (EKS/ECS), and AWS managed services such as Lambda, API Gateway, S3, RDS, DynamoDB, and CloudFront.
• Designed and implemented complete CI/CD pipelines using GitHub Actions, Jenkins, and AWS CodePipeline, enabling automated build, test, and deployment workflows with zero-downtime blue/green and canary releases.
• Set up full cloud infrastructure on AWS from scratch in a cost-optimized, secure, and high-availability manner - including VPC design, IAM role configuration, load balancers (ALB/NLB), auto scaling groups, and CloudFormation/Terraform-based infra as code (IaC).
• Headed team of engineers and developed backend services in Go (Golang) and Node.js, implementing REST/gRPC APIs, asynchronous job queues (using Kafka, RabbitMQ, or SQS), and database layers (using PostgreSQL, MySQL, Redis, and MongoDB).
• Instrumented observability and monitoring across distributed systems using OpenTelemetry, Prometheus, Grafana, and Fluent Bit, building end-to-end tracing, custom metrics, and centralized logging pipelines.

Sep 2022 – Feb 2025 · 2 yrs 5 mos · Bengaluru · On-site

• Real-Time Threat Intelligence Platform:
• Led end-to-end system design and architecture of a large-scale, real-time location-based threat intelligence platform, integrating live data from 2,000+ hyper-local sources with geospatial customization.
• Architected high-performance backend systems using microservices, Kafka event streams, & Go, designed to scale under dynamic regional data loads and support customizable alerting and access control
• Designed & implemented a low-latency API pipeline, optimized for high query throughput, dynamic UI rendering, & extensible data models.
• Directed cross-functional teams (frontend, backend, product), driving alignment across the full software lifecycle, from concept & design to deployment and maintenance in a cloud-native environment.
• Led trade-off decisions involving consistency vs. latency, eventually implementing geo-distributed components & asynchronous queues to support both real-time UX and high ingestion volume.
• Mentored engineers on both high-level architecture patterns (event-driven, loosely coupled services) & low-level performance tuning (API response times, memory optimization, and indexing in Elasticsearch).
• Additional Systems & Third Party Integrations:
• Built a search & threat detection engine using Elasticsearch with deep query optimization, schema tuning, & memory-efficient storage for millions of monthly records.
• Developed modular 3rd-party integrations into SIEM/SOAR platforms, using secure APIs and event ingestion frameworks with configurable feedback loops & failover mechanisms.
• Created a full-stack alerting and integration framework, enabling automated ticket generation in Jira, with extensible webhook & retry architecture.
• Core Competencies:
• Python, Golang, Distributed Systems, Low-Latency API Design, Scalable Architecture, Stream Processing, Security-Oriented System Design, Search Engine Optimization (Elasticsearch), Asynchronous Processing, Microservices, Cross-Team Technical Leadership

May 2022 – Sep 2022 · 4 mos · Mountain View, California, United States

• Built a monitoring and debugging Bot for Kubernetes clusters. Worked on various open-source tools for monitoring, logging, and database management. The 'KubeBot' is a monitoring, alerting and debugging tool to address the problem of out-of-the-box metrics, traces, events, and logs collection for applications running inside Kubernetes, reporting all the collected data on a single dashboard and push notifications to users for critical ones. The collected metrics, traces, events, and logs will help to debug the application running inside Kubernetes faster and more effectively.

Apr 2021 – Sep 2022 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Enterprise Digital Twin (EDT) Systems:
• Designed and developed personalized Digital Twin solutions to simulate real-time logistics operations, using Java and Python for system modeling, orchestration, and telemetry analysis.
• Automated complex ETL workflows for ingesting and processing operational data streams, improving reliability and enabling real-time insights via predictive analytics.
• Implemented ML-driven forecasting models for truck allocation and route planning, resulting in a 23% reduction in logistics operational costs.
• Developed performance-critical components in C++ and Python, focusing on low-level data handling, event sequencing, and cross-system integration.
• Applied core systems programming principles to ensure robust interaction between AI modules and digital infrastructure layers.
• Core Competencies:
• Digital Twin Systems, Data Engineering, Python Automation, Machine Learning Integration, Java/C++ Backend Development, Distributed Computing, ETL Pipelines, Real-Time Analytics

Sep 2020 – Apr 2021 · 7 mos · Jodhpur, Rajasthan, India

• Worked as the PI for development of a Jaw Rehabilitation Device for patients suffering from Temporomandibular Joint (TMJ) Disorders.
• Tech Stack:
• Machine Learning • Python • MATLAB • Solidworks • ANSYS • 3D Printing
• Key Highlights:
• The rehabilitation device has won the prestigious GYTI 2021 award under SITARE category.
• The project got selected for BIRAC BIG grant of worth 5 million INR.
• Developed a novel Jaw Rehabilitation Device that addresses the shortcomings & issues in current jaw rehabilitation solutions.
• Development of device done through Rapid Prototyping and 3-D printing.

Sep 2018 – Aug 2019 · 11 mos · Jodhpur, Rajasthan, India

• Volunteer work for welfare of people in rural areas. Taught in school to needful students and children.