Evram D.
Software Engineer | Maker
- Role
- Senior Software Engineer at Comcast
- Location
- Washington, DC, US
- LinkedIn followers
- 500 followers
About Evram D.
Ever-curious Software Engineer with diverse Full Stack experience focused on creating…
Experience
Senior Software Engineer
Jan 2024 — Present · Washington, DC, US
Developed and maintained scalable, high-performance web application for internal AI chatbot using Next.js, React, and TypeScript leveraging server-side rendering to reduce page load times. Integrated Tailwind and Storybook for accelerated UI development, ensuring consistent theming and design. Utilized PrismJS for intelligent syntax highlighting of LLM results. Enhanced user experience by implementing client-side caching, feedback modals, and save/share functionality Deployed an AI chatbot that supported over developers using Retrieval Augmented Generation principles, providing instant, context-aware answers to observability questions. Integrated intelligent document segmentation with LangChain, generated embeddings using Hugging Face models and Python SDK, leveraged ElasticSearch for dense vector storage and kNN search via NLP algorithms, utilized Jinja templating for dynamic prompting, implemented token optimization for LLM response using tiktoken, and delivered a Slack integration for easy developer access Contributed to the creation of Comcast’s internal observability tracing solution, leveraging OpenTelemetry for instrumentation, ElasticSearch for trace storage, and a customized API for trace retrieval. Designed the platform with scalability in mind, enabling it to handle telemetry data volumes projected to surpass the 300 TB/day logging platform. Enhanced developer workflows by integrating trace visualization in Grafana and enabling RED Metrics generation Onboarded Cloud Foundry-based Java Spring Boot microservices onto tracing platform leveraging auto-instrumentation techniques, enriching traces with key resource attributes. Simplified developer adoption by providing detailed configuration examples and integrated advanced data collectors for custom telemetry needs. Ensured successful implementation by collaborating with tenants to troubleshoot, optimize, and validate their setups
Education
Stanford University
Master of Science (MS), Structural Engineering
Columbia Engineering
Bachelor of Science - BS, Civil Engineering
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.