Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

• Mentored junior engineers through onboarding deep dives, service transitions, architecture walkthroughs, and PR reviews—serving as the primary continuity point for the core product following team changes.
• Designed and implemented a robust AI orchestration system using extensible Makefiles and Python automation scripts—enabling modular workflow composition and environment-specific overrides.
• Engineered advanced AI workflows with prompt chaining, fallback handling, and human-in-the-loop (HIL) logic using CLI-based LLM tools—powering scalable insight generation across diverse analysis contexts.
• Delivered a secure, extensible authentication system using AWS Cognito, PostgreSQL, and NextAuth.js—supporting multi-provider login and future-ready identity abstraction.
• Built end-to-end orchestration monitoring and execution flows, triggering pipelines via backend APIs and surfacing real-time pipeline state in the web interface for analyst observability.
• Developed dynamic D3.js visualizations with a template-driven rendering engine, enabling custom data outputs per client without frontend rewrites.
• Authored detailed runbooks, infrastructure references, and user guides to reduce onboarding time and enable confident team-wide ownership.

Jul 2024 – Jun 2025 · 11 mos · Bengaluru, Karnataka, India · On-site

• Built a Gen-AI-powered code analysis platform using Python, Docker, and AWS (Lambda, Step Functions, ECS) to orchestrate scalable, serverless workflows over large codebases.
• Led AI-driven insight generation using the OpenAI Assistants API, with custom prompt engineering, LLM-agent orchestration, and fallback workflows for high-confidence business insights.
• Independently evaluated and integrated OSS tools like Dependency-Track, CDXGen, Checkov, Mend, and custom SBOM generators to automate security and compliance scanning at scale.
• Designed and implemented the full database integration layer using SQLAlchemy, including schema design, data
• models, DAOs, and service-level interactions.
• Created a shared Python library (Poetry-based) as a part of major refactoring effort for reuse across Lambda microservices and ECS tasks, simplifying dependency management and reducing redundant logic.
• Designed multi-environment AWS infrastructure using modular Terraform, achieving environment isolation, automated provisioning, and significant cloud cost reductions through resource reuse.
• Replaced a legacy OpenVPN setup with AWS SSM Session Manager, implementing IAM-based access controls for secure and auditable multi-user remote connectivity.
• Automated provisioning across Linux, macOS, and Windows using a base-node/remote-node architecture built with Ansible and SSM, improving consistency and lowering infra overhead.
• Built a CLI tool in Python to simplify environment setup, user access, and workflow triggering—allowing analysts to self-serve complex operations without engineering involvement.
• Delivered fully automated deployment and test pipelines using AWS CodeBuild and Terraform, enabling stable and repeatable multi-stage deployments.
• Resolved core tax logic bugs in a production payment infrastructure migration to Stripe, integrating the Avalara API to ensure accurate global sales tax handling.

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

• Built a multi-tenant booking platform from scratch with resilient AWS architecture, using Elastic Beanstalk, auto-scaling, and failover for high availability.
• Secured the system with AWS Secrets Manager, Cognito-based auth, and strict CORS and subnet policies.
• Optimized GraphQL APIs using multithreading and backend-heavy computation for faster response times.
• Tuned DB queries and added pagination to boost frontend/backend performance.
• Load tested with JMeter to validate scalability under high concurrency.
• Completed multiple hands-on assignments and mini-projects to ramp up on full-stack development using React, TypeScript, Spring Boot, AWS, and PostgreSQL.