NAVEEN GOYAL

Software Engineer

Bengaluru, Karnataka, India10 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Architected large-scale AI systems with LLMs.
Led migration to agent-based architecture for AI workflows.
Proven track record in optimizing cloud-native infrastructures.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in AI-driven platforms and cloud-native architectures.

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Skills

Core Skills

Large Language Model Operations (llmops)Cloud ApplicationsDistributed Systems

Other Skills

Agent DevelopmentKubernetesMLOpsSystems DesignOptimizationGo (Programming Language)JavaPythonObservabilityPerformance OptimizationMicroservicesMonitoringDynamoDBGraph-based Access PatternsDatabase Partitioning

About

Staff/Principal-level Software Engineer with over a decade of experience building and scaling AI-driven platforms and distributed systems. Expertise spans Python, Go, and Java, with a strong focus on cloud-native architectures, microservices, and platform engineering. Currently leading the development of large-scale AI systems leveraging LLMs, RAG, and agent frameworks, with deep involvement in Kubernetes-based infrastructure and production-grade MLOps. Proven ability to design high-impact systems that improve performance, enhance reliability, and optimize infrastructure efficiency. Strong background in conversational AI, search, and workflow automation, combined with hands-on experience in system design and reliability engineering. Known for driving platform modernization, simplifying complex architectures, and enabling scalable, resilient solutions. A strategic technical leader who mentors engineers, influences architecture decisions, and partners closely with product teams to deliver systems that power meaningful business outcomes.

Experience

10 yrs 10 mos

Total Experience

2 yrs 2 mos

Average Tenure

3 yrs 1 mo

Current Experience

Allen digital

2 roles

Staff Engineer

Promoted

Apr 2024 – Present · 2 yrs 2 mos · Bengaluru · On-site

Architected and scaled an LLM-based AI platform handling millions of daily requests, significantly improving compute efficiency through asynchronous processing, connection pooling, and end-to-end observability.
Led the migration to an agent-based architecture using the Google Agent Development Kit (ADK), enabling reliable and scalable AI workflows with a seamless production rollout.
Built a unified RAG platform with intelligent caching and resilience mechanisms, eliminating redundant inference and substantially improving response latency.
Optimized model hosting on Kubernetes through rightsizing, autoscaling, and workload tuning, driving meaningful infrastructure cost efficiencies.
Consolidated fragmented search infrastructure into a unified architecture, improving query performance while simplifying data pipelines and operational complexity.
Introduced evaluation-gated deployment pipelines to ensure production quality, reducing the risk of faulty releases and strengthening system reliability.
Led backend modernization efforts, improving maintainability, reducing service sprawl, and enhancing CI/CD robustness.
Designed and built a conversational agent platform with an end-to-end orchestration layer, including configurable RAG pipelines, multimodal OCR integration, and safety systems—enabling scalable, low-latency, and high-quality automated query resolution.

Agent DevelopmentDistributed SystemsLarge Language Model Operations (LLMOps)Cloud ApplicationsKubernetesMLOps+2

Senior Software Engineer

Apr 2023 – Mar 2024 · 11 mos · Bengaluru · On-site

Query & Doubt Management Platform: Owned the core service powering the end-to-end query lifecycle, including creation, intelligent routing, and expert workflows. Improved platform availability, responsiveness, and operational reliability through scalable architecture and performance optimizations.
Leadership & Engineering Excellence: Led a team of engineers while driving key architectural decisions and platform direction. Established an observability-first, metrics-driven engineering culture leveraging OpenTelemetry, SLOs, experimentation frameworks, and standardized best practices across Go, Java, and Python services.

Cloud ApplicationsGo (Programming Language)JavaPythonObservabilityPerformance Optimization+1

Amazon

Software Development Engineer -2

Mar 2020 – Apr 2023 · 3 yrs 1 mo · Bengaluru · Remote

Owned event-driven microservices at massive scale, ensuring system reliability through effective use of throttling, retries, and autoscaling strategies.
Led operational readiness for high-traffic scenarios by implementing robust monitoring, detailed runbooks, and deployment safeguards to maintain system stability.
Migrated key workloads from relational models to graph-based access patterns, improving query efficiency and reducing latency for complex data relationships.
Designed and built scalable internal APIs on Amazon DynamoDB, enabling efficient and reliable data access for critical services.
Redesigned database partitioning strategies to eliminate hot spots and sustain high performance under heavy load.

MicroservicesMonitoringDynamoDBGraph-based Access PatternsDatabase PartitioningDistributed Systems+1

Sca technologies

3 roles

Tech Lead

Jul 2019 – Feb 2020 · 7 mos · Gurgaon, India

Architected & optimized freight cost and delivery APIs for CRM systems with dynamic pricing
Worked on Re-engineering Excel-based workflows into secure, modular web applications
Built robust SQL Server pipelines enhancing ETL and analytics
Supported cross-functional teams for project delivery

API DevelopmentSQL ServerETLAnalyticsCloud Applications

Senior Software Engineer

Promoted

Jul 2018 – Jul 2019 · 1 yr · Gurgaon, India

Associate Software Engineer

Jun 2015 – Dec 2017 · 2 yrs 6 mos · Gurugram

Built RESTful APIs to replace manual integrations, enabling real-time data exchange and reducing operational overhead.
Contributed to ERP system rollouts, improving release quality, deployment processes, and defect tracking practices.
Developed and optimized ETL pipelines and database queries, enhancing reporting performance and data reliability.
Replaced manual spreadsheet-driven workflows with web-based internal tools, improving efficiency, traceability, and auditability.
Enhanced ETL pipelines with monitoring, alerting, and recovery mechanisms, reducing downtime during critical business operations.
Technologies: Java, SQL Server, Oracle, ERP Integrations

RESTful APIsETLDatabase QueriesCloud Applications

Power2sme

Senior Software Engineer

Dec 2017 – Jul 2018 · 7 mos · Gurgaon, India

Optimized payment & reconciliation services using Spring Boot & SQL, improving transaction throughput
Initiated codebase modularization for service isolation and faster feature delivery
Set up SonarQube & Nexus, enabling CI/CD foundations
Collaborated across teams to improve financial workflow automation

Spring BootSQLCI/CDCloud Applications