I'M SURYANSH
Proven track record of delivering high-performance backend systems, agentic AI workflows, microservices and DevSecOps automation used by global enterprises.
About Me
Senior Backend & AI Engineer with 4+ years of experience building scalable distributed systems, AI automation platforms, and enterprise-grade security products. Specialized in Python microservices, event-driven architectures, LLM-powered agents, and cloud-native platforms.
My Mission
Building resilient, scalable systems that power the future of AI and Security.
Current Status
Open for new opportunities in Agentic AI and Backend Systems.
Featured Projects
Automated PR Reviewer
AI agent for automated code reviews integrated into CI/CD pipelines. Detects issues and suggests improvements automatically.
Play Store Trend Agent
Agentic analysis of Play Store reviews with semantic deduplication, trend tracking, and interactive dashboard.
Advanced Coding CLI
Terminal-based AI coding assistant with Model Context Protocol (MCP) support and interactive TUI.
Python SAST Agent
Autonomous SAST agent that detects vulnerabilities, generates fixes, and creates pull requests. Implemented CI-ready Docker workflows and Slack alerts.
Bluesky AI Agent
Agentic content automation platform using multi-agent orchestration. Enabled real-time Bluesky integration for LLM-powered workflows.
NLP Bug Severity Predictor
API to predict vulnerability severity based on description using NLP techniques. Dockerized for easy deployment.
Gem Price Prediction Pipeline
End-to-end MLOps pipeline for gemstone price prediction. Features DVC for data versioning and Azure for cloud deployment.
Medical Chatbot RAG
RAG-based medical chatbot utilizing Llama2 and Pinecone for semantic search and reliable medical query answering.
AI Trip Planner
Multi-agent travel planning system with dynamic risk assessment, budget optimization, and crowd density prediction.
Skills & Expertise
PROFESSIONAL EXPERIENCE
Strobes Security, Inc.
- ◈Architected and implemented a bi-directional GitHub Issues synchronization platform using GraphQL APIs, webhook-driven event orchestration, and idempotent reconciliation workflows, reliably processing 10k+ webhook events daily across 300+ enterprise tenants.
- ◈Built a high-throughput enterprise export engine capable of processing 500k+ vulnerability and engagement records using optimized ORM execution plans, streaming batch pipelines, and concurrent background job execution.
- ◈Developed a tenant-aware analytics framework supporting dynamic joins, aggregation pipelines, and self-serve dashboard generation across multi-table datasets serving 300+ concurrent enterprise tenants.
- ◈Reduced priority score computation latency by 95%+ (2000s → 100s) through query-plan optimization, caching strategies, and elimination of redundant I/O operations.
- ◈Improved release reliability and regression safety by expanding automated unit and integration test coverage across asynchronous processing services, distributed analytics pipelines, and concurrent background job workflows.
Strobes Security, Inc.
- ◈Architected a customizable dashboard framework powering 7+ analytical widget types across vulnerability, asset, and engagement datasets supporting 300+ tenant-scoped enterprise environments.
- ◈Designed and developed AI-driven security automation workflows for remediation orchestration, lifecycle management, and infrastructure operations supporting concurrent asynchronous task execution pipelines.
- ◈Built an autonomous code remediation agent using AIDER and Claude Sonnet to generate contextual vulnerability fixes, perform diff-aware reasoning, and automate pull request generation across concurrent CI workflows.
- ◈Engineered a rollback-safe cloud remediation platform using LangChain, Terraform, Celery, and RabbitMQ to detect infrastructure misconfigurations and execute concurrent remediation workflows with audit-safe rollback mechanisms.
- ◈Integrated AWS Bedrock, OpenAI, LangChain, and FastAPI streaming pipelines to power a contextual AI security assistant supporting low-latency real-time response streaming and session-aware memory management.
- ◈Developed an NLP-based vulnerability severity classification engine using TF-IDF vectorization and NLTK pipelines for automated risk categorization from unstructured findings.
- ◈Generated synthetic vulnerability datasets using LLaMA 3.1 to support internal AI experimentation, model evaluation workflows, and structured security-data simulation.
- ◈Unified multiple security-scanner microservices into a normalized ingestion architecture with structured parsing, automated deduplication, asynchronous processing, and scalable event-driven ingestion pipelines.
- ◈Delivered Azure Boards bi-directional synchronization workflows using REST APIs and webhook orchestration, reliably handling 10k+ external lifecycle events daily with idempotent state reconciliation.
- ◈Modernized CSV ingestion workflows processing 500k+ records through schema-aware validation layers, granular error reporting, and scalable batch-processing pipelines.
- ◈Built scalable PDF reporting infrastructure generating 5k+ tenant-scoped reports monthly using headless rendering pipelines and AWS S3 artifact storage.
- ◈Implemented OAuth-based credential management workflows for GitHub and Jira integrations with scoped permissions and secure token storage mechanisms.
Strobes Security, Inc.
- ◈Designed and implemented an Asset and Vulnerability Archival System managing 500k+ records with lifecycle-aware data segregation and on-demand restoration capabilities in a multi-tenant SaaS environment.
- ◈Integrated Microsoft Teams webhook-based notifications for automated vulnerability updates, workflow alerts, and security event communication.
- ◈Optimized high-volume bulk asset and vulnerability operations including bulk deletion of 500k+ records through query refactoring, batch execution optimization, and asynchronous processing improvements.
- ◈Analyzed ORM execution patterns using Django Silk to identify N+1 queries, optimize database access strategies, and reduce production API latency by 70% under high-volume workloads.
- ◈Designed and implemented an end-to-end History API enabling audit trails, version-level traceability, and lifecycle change tracking across assets and vulnerabilities.
- ◈Configured SLA rule-processing logic and implemented an Engagement Credits API supporting automated PTaaS workflow execution and credit allocation mechanisms.
- ◈Authored internal technical documentation for dashboard systems, widget architecture, and backend workflows to streamline onboarding and improve engineering clarity.
Strobes Security, Inc.
- ◈Developed a full-stack blog platform using Django REST Framework, GraphQL, PostgreSQL, and JWT-based authentication with production-style API architecture.
- ◈Diagnosed and resolved backend production issues within the Strobes API ecosystem, improving service reliability and deployment stability.
- ◈Contributed to backend platform development using Python, Django, DRF, GraphQL, and Docker within a production cybersecurity SaaS environment.