Vignesh K

Development Engineer 2 @ Comcast

About

I build production-grade GenAI systems, backend APIs, and cloud automation at scale.Currently at Comcast Technology Solutions, I've designed and shipped 2 internal production AI tools powered by GPT-4.1 and RAG architecture — serving 20+ OTT distribution endpoints including Netflix, Amazon Prime, Apple TV+, and Peacock.1. ADI Validator — AI-assisted XML validation pipeline that reduces validation time from 30 minutes to seconds, auto-corrects issues, and surfaces institutional knowledge via a RAG knowledge base.2. KeystoneIQ — RAG-powered Jenkins automation layer that eliminated 2-3 hours/day of manual test selection per developer across 20+ VOD endpoints.What I bring:Python (Advanced) | FastAPI | RAG Pipelines | LLM Integration (GPT-4.1, Claude API) | Vector Stores (FAISS, ChromaDB) | Prompt Engineering | AI Agents | AWS | PyTest | Robot Framework | Jenkins | GitHub Actions |Before Comcast, I built Python automation for networking platforms (Adtran SmartOS at Prodapt — reducing manual testing 40%) and WiFi-6 router certification (Spectrum platform at Cognizant). I've worked across 3 companies and 3 completely different technical domains — I ramp fast.Certifications: AWS CCP | Anthropic Claude Code in Action | Anthropic AI Fluency | Python Automation with PyTest | GitLab CI/CD | Google Data AnalyticsI'm targeting Senior SDE / AI Engineer roles at product-first technology companies where I can own features end-to-end.Open to: Senior Backend Engineer | GenAI / LLM Engineer | AI Platform Engineer | Senior SDET | Python LeadContact: vjvignesh2k@gmail.com | +91-9080341174 | Chennai, India

Country

India

City

Greater Chennai Area

Industry

Information Technology & Services

Skill

Cloud Computing, Amazon Web Services (AWS), FastAPI, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Generative AI, Python (advanced), Claude Skills, Claude Code, Plume, ci/cd, Jenkins, Gitlab, Linux, Networking, Automation Engineering, pytest, Behavior-Driven Development (BDD), Data Analysis, SQL

Experience

Development Engineer 2

Comcast

2024-6 - Present · 2 yrs 4 mos

Chennai

Senior automation and GenAI engineer on the Media Express VOD platform — cloud-native media processing serving Netflix, Amazon Prime, Peacock, Apple TV+, Hulu, and AMC. • Designed and shipped ADI Validator — production AI-powered pre-ingest quality gate for ADI XML files. Reduces validation time from ~30 minutes to seconds across 20+ OTT distribution endpoints (Netflix, Amazon, Hulu, Peacock, Apple, XBOX, Vizio). • Built 4-stage validation pipeline: lxml XML parser → rules.yaml validator (CableLabs spec) → GPT-4.1 LLM enrichment with auto-fix suggestions → deterministic auto-patch for corrected XML output, backed by RAG knowledge base (ChromaDB/FAISS). • Built KeystoneIQ — RAG-powered Jenkins automation layer that semantically maps code changes to correct test suites. Eliminated 2-3 hrs/day per developer of manual test selection across 20+ VOD endpoints with zero cross-contamination across 5 isolated dev builds. • Introduced OpenSpec spec-first development in CME NextGen ATF — all framework changes documented as formal specs before implementation, improving architectural traceability and reducing rework. • Implemented self-hosted GitHub Actions runners enabling dual CI execution (GitHub Actions + Jenkins); integrated GitHub Copilot for automated PR review, reducing manual code review effort. • Built CME NextGen E2E cloud automation using PyTest + Boto3 across GitHub Actions + Jenkins pipelines covering content ingest, metadata processing, and AWS service interactions. • Collaborated with SRE, Platform, and ML teams to raise quality gates; reduced regression cycle times across distributed cloud services.

Software Engineer

Prodapt

2023-8 - 2024-6 · 11 mos

Chennai

Python automation engineer for Adtran SmartOS IntelliFi — validated gateway and satellite networking features across Layer 2/3 scenarios. • Designed Python automation suite using Robot Framework for Adtran SmartOS IntelliFi platform — validated DHCP, DNS, VLAN, and Layer 2/3 protocol-level regression scenarios. • Reduced manual testing effort by 40% (from ~50 hrs/sprint to ~30 hrs/sprint) improving regression coverage and enabling faster firmware release cycles. • Integrated automation pipelines into Jenkins CI, reducing regression execution time and improving release confidence.

Programming Analyst

Cognizant

2023-6 - 2023-8 · 3 mos

Chennai

Python automation developer for Spectrum Connectivity Platform — WiFi-6 and WiFi-6E router certification on Linux and Raspberry Pi. • Built Python automation framework for Spectrum Connectivity Platform — REST API validation, protocol testing, and firmware certification for WiFi-6 and WiFi-6E routers on Linux and Raspberry Pi. • Client: Charter Communications (McKinsey & Company engagement) — contributed to defect triage, root-cause analysis, and CI pipeline setup using JIRA, improving defect resolution SLA and sprint quality metrics.

Programmer Analyst

Cognizant

2022-8 - 2023-6 · 11 mos

Client - Charter Communications Python automation developer for Spectrum Connectivity Platform — WiFi-6 and WiFi-6E router certification on Linux and Raspberry Pi. • Built Python automation framework for Spectrum Connectivity Platform — REST API validation, protocol testing, and firmware certification for WiFi-6 and WiFi-6E routers on Linux and Raspberry Pi. • Client: Charter Communications (McKinsey & Company engagement) — contributed to defect triage, root-cause analysis, and CI pipeline setup using JIRA, improving defect resolution SLA and sprint quality metrics.