Senior Software Engineer / Senior Full Stack Engineer at Science Soft

Architected and led development of scalable backend platforms using Python and Go, designing microservices that powered automation workflows, campaign optimization engines, and internal tooling for large-scale advertising operations. Engineered high-performance RESTful APIs and distributed backend services, achieving 2x faster response times while improving scalability, fault tolerance, and reliability across mission-critical systems. Designed event-driven architectures leveraging Google Pub/Sub, AWS Lambda, and asynchronous processing patterns for real-time triggers, background job orchestration, and large-scale data pipelines. Integrated AI-powered insight and recommendation engines using OpenAI APIs, LangChain, and LLM orchestration workflows to generate automated advertiser recommendations and campaign optimization suggestions, increasing user engagement by 40%. Developed real-time communication and notification systems using React, Node.js, WebSockets, Slack integrations, email se

Senior Software Engineer at ScienceSoft

• Architected and led development of scalable backend platforms using Python and Go, designing microservices-based systems that powered automation workflows, campaign optimization engines and internal tooling for large-scale advertising operations. • Engineered high-performance RESTful APIs and distributed backend services with Python and Go achieving 2x faster response times while improving scalability, fault tolerance, and reliability across mission-critical systems. • Designed and implemented event-driven architectures leveraging Google Pub/Sub, AWS Lambda, and asynchronous processing patterns to support real-time triggers, background job orchestration, and largescale data pipelines. • Integrated AI-powered insight and recommendation engines using OpenAI APIs, LangChain, and LLM orchestration workflows to generate automated advertiser recommendations, campaign insights and creative optimization suggestions, increasing user engagement by 40%. • Developed real-time communication and notification systems using React, Node.js, WebSockets, Slack integrations, email services, and webhook-based triggers to deliver operational alerts and campaign performance monitoring. • Led infrastructure modernization initiatives by migrating legacy VM-based deployments to Kubernetes based container orchestration, implementing scalable CI/CD pipelines and observability platforms using Prometheus, Grafana, and OpenTelemetry, reducing production incidents by 40%. • Mentored and guided a team of engineers across Python, Go, Node.js, React, cloud-native architecture, distributed systems, and engineering best practices, contributing to improved development velocity and code quality standards.

Full Stack Engineer at UST

Designed and optimized real-time event processing and personalization engines using Python and Go, improving behavioral classification accuracy and reducing processing latency for large-scale customer engagement and messaging workflows by 20%. Developed high-performance frontend data orchestration layers using React, React Query, SWR, and the MERN stack, reducing client-side latency by 30% and delivering responsive real-time customer journey experiences. Led migration of critical backend systems from Python 2 to Python 3, enabling modern AI/ML frameworks and integration of intelligent message ranking, predictive content generation, and behavioral segmentation models. Architected scalable distributed backend services using Django, Flask, and Go-based microservices capable of processing millions of concurrent user events while maintaining low-latency message delivery across omnichannel engagement platforms. Modernized platform architecture by decomposing monolithic applications into inde

Full Stack Engineer at SumatoSoft

• Designed and optimized real-time event-processing and personalization engines using Python and Go improving behavioral classification accuracy and reducing processing latency for large-scale customer engagement and messaging workflows by 20%. • Developed high-performance frontend data orchestration layers using React, React Query, SWR and the MERN stack reducing client-side latency by 30% and delivering responsive real-time customer journey experiences. • Led migration of critical backend systems from Python 2 to Python 3, enabling adoption of modern AI/ML frameworks and integration of intelligent message ranking, predictive content generation, and behavioral segmentation models. • Architected scalable distributed backend services using Django, Flask, and Go-based microservices capable of processing millions of concurrent user events while maintaining low-latency message delivery across omnichannel engagement platforms. • Modernized platform architecture by decomposing monolithic applications into independently scalable microservices, redesigning database schemas and isolating messaging, event ingestion, segmentation and profile management domains. • Built multi-tenant micro-frontend architectures enabling customizable enterprise dashboards, improving application performance by 40% and enhancing usability for campaign management and customer engagement operations. • Engineered large-scale event ingestion and behavioral data collection pipelines using Python, Selenium and Scrapy to support ML-driven recommendation systems, message-timing optimization and customer analytics workflows, with datasets stored in PostgreSQL and AWS S3. • Designed and optimized RESTful APIs and webhook infrastructures integrating with platforms such as Segment, Shopify, Zoom, and enterprise CRM systems, improving interoperability and reducing API response times by 20%. • Automated deployment workflows using GitHub Actions, Jenkins, Docker, and Terraform, establishing scalable CI/CD pipelines and Infrastructure-as-Code practices across AWS cloud environments. • Strengthened platform reliability and release quality through automated testing strategies using PyTest, Jest and Cypress, reducing customer-reported production issues by 30% in high-throughput event-driven systems. • Provided technical leadership through architecture reviews, peer mentoring, code quality initiatives and engineering best practices focused on scalability, security, observability and high-availability distributed systems.