Building Intelligent Systems
with AI.
Senior Software Engineer with 7.5+ years of experience engineering secure, high-scale backend architectures, autonomous AI-driven SOC systems, and production LLM integrations. Proven track record of boosting system reliability by 40% and slashing manual investigation time by ~90%.
Architecting the Frontier of AI
Bridging cutting-edge foundational model capabilities with resilient, enterprise-grade software engineering.
“Senior Software Engineer with 7.5+ years of deep expertise in architecting resilient backend systems, distributed workflow orchestration, and enterprise Generative AI integrations for 10+ global enterprise clients.”
Currently at Crest Data, I design and deliver secure, production-grade backend integrations with platforms like Datadog, Netskope, and DeepTrust. I integrated Generative AI and LLM reasoning into an AI-Powered SOC platform, reducing manual alert investigation effort by ~90%.
My engineering philosophy couples distributed systems rigor with modern AI capabilities—combining fault-tolerant workflow orchestration with Temporal, high-throughput microservices using FastAPI/Python, robust security contracts (OAuth 2.0, JWT), and Oracle AI Vector Search.
Certified as an OCI Generative AI Professional, Oracle AI Vector Search Certified Professional, and AWS Cloud Practitioner, I specialize in bridging non-deterministic LLM capabilities with deterministic, scalable backend engineering.
Enforcing strict validation schemas and safety boundaries on non-deterministic LLMs.
Systematic automated benchmarking to continuously quantify agent performance and accuracy.
AI-Driven SOC & LLM Reasoning
Integrating LLMs, LangChain, and Temporal for automated multi-source security alert correlation, triage, and threat synthesis.
Enterprise Backend Architecture
7.5+ years building distributed RESTful services, microservices, and asynchronous pipelines using Python, FastAPI, Django, and Flask.
Zero Trust Security & Integrations
Designing extensible API contracts and integration engines for Datadog, Netskope, Okta, Keycloak, Tenable, and SIEM platforms.
Vector Search & Retrieval
Certified expertise in Vector Databases and semantic search architectures to power enterprise knowledge synthesis.
Specialized Capabilities
Curated toolset honed for architecting reliable agentic frameworks, high-throughput backend services, and enterprise security integrations.
AI & Machine Learning
Generative AI, LLM reasoning, vector search, and agent orchestration.
Backend Development
7.5+ years of high-performance Python architectures, frameworks, and APIs.
Security & Integrations
Zero Trust architecture, enterprise auth standards, and SIEM ecosystems.
Cloud & DevOps & Databases
Cloud infrastructure, containerization, CI/CD, and data persistence.
Professional Experience
Track record of engineering production-grade software and scaling AI architectures.
Senior Software Engineer (Python Backend Developer)
Designing and delivering secure, production-grade backend integrations and AI-powered systems for 10+ enterprise clients, ensuring high reliability, scalability, and compliance with industry standards.
Key Responsibilities
- •Led AI agent development and backend integration for an AI-Powered SOC platform, reducing manual analyst investigation effort by ~90% through LangChain alert correlation and evidence synthesis.
- •Architected durable, fault-tolerant workflow orchestration using Temporal to execute long-running investigation activities with automated retries, timeouts, and state persistence.
- •Designed and delivered production-grade backend integrations with Datadog, Netskope, and DeepTrust for 10+ enterprise clients.
- •Reduced integration onboarding time by 30% through standardized OOP abstraction layers, reusable API contracts, and automation.
- •Mentored junior engineers on backend and system architecture, reducing onboarding time by 30%, improving code review speed by 25%, and fostering cross-functional alignment.
- •Reviewed and optimized codebase to reduce complexity, improve system efficiency, and enhance long-term scalability.
Major Achievements
- ✓Reduced manual security alert investigation effort by ~90% with AI-driven reasoning and LangChain workflows.
- ✓Conducted in-depth Root Cause Analysis (RCA) on high-priority production issues, reducing system downtime by 30% and accelerating incident response by 40%.
- ✓Standardized multi-vendor Zero Trust security integrations across SIEM, IAM, Okta, Duo, and Rapid7.
Python Developer
Engineered scalable RESTful backend services, secure authentication workflows, and automated testing pipelines for enterprise applications.
Key Responsibilities
- •Developed high-throughput RESTful backend services using Python, Django, and Flask.
- •Implemented robust OAuth 2.0 and JWT authentication mechanisms across distributed endpoints.
- •Implemented Test-Driven Development (TDD) and comprehensive unit testing using Pytest across the entire backend service, accelerating delivery and enhancing code quality.
- •Constructed automated Continuous Integration (CI) and deployment pipelines, elevating code reliability and release velocity.
- •Collaborated with cross-functional engineering teams to optimize backend performance, database queries, and API response latency.
Major Achievements
- ✓Achieved 40%+ improvement in system reliability through disciplined TDD, Pytest test coverage, and CI automation.
- ✓Spearheaded token-based authentication and granular authorization across multi-tenant enterprise services.
Featured Engineering Projects
Production-grade AI systems, Zero Trust integration frameworks, and distributed workflow orchestration.
AI-Powered Security Operations Center (SOC)
An enterprise security automation platform orchestrating specialized LangChain agents within fault-tolerant Temporal workflows to correlate multi-source alerts, synthesize evidence, and reduce manual investigation effort by ~90%.
Deeptrust Security Integrations
A reusable Python-based integration framework for a Zero Trust security platform to streamline integration with multiple security and identity products (SIEM, IAM, Okta, Duo, Rapid7).
Education & Certifications
Formal academic engineering degree and professional certifications in AI systems and Cloud.
Academic Degrees
Bachelor of Technology (B.Tech)
Graduated with GPA 7.11/10. Comprehensive coursework in Computer Science, Distributed Systems, Algorithms, Database Management Systems, and Object-Oriented Software Design.
Industry Certifications
OCI Generative AI Professional
Oracle AI Vector Search Certified Professional
OCI AI Foundations Associate
AWS Cloud Practitioner Essentials
Let's Build Something Intelligent
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