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cosmic-hash/README.md
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LinkedIn Portfolio LeetCode Gmail

About

Backend + AI engineer in San Francisco, California β€” available to work.

3+ years of professional experience Β· MS CS @ CU Boulder Β· Focus: scalable systems + AI

I build production systems at the intersection of backend engineering and AI β€” from RAG platforms serving 2M+ users to LLM agents, observability pipelines and cloud-native services. AI-native builder: I use AI technologies end-to-end to design, ship and iterate on anything faster β€” day-to-day coding with Claude and Cursor.

Roles: Cisco Extern (CU Boulder) Β· finish'd Β· Kore.ai Β· Express Stores


πŸ’Ό Work Experience

🏒 Cisco Systems β€” AI Engineer Extern Β |Β  CU Boulder Γ— Cisco Β |Β  2025
  • LLM-powered co-pilot for network engineers β€” configs, intents and topologies via LangChain and MCP
  • Built agent workflows that help engineers navigate complex network environments faster

LangChain MCP Python LLMs

🏒 finish'd, Inc. β€” Software Engineer Intern Β |Β  Denver, CO Β |Β  May 2025 – Jun 2025
  • Built a scheduled change detection pipeline across 60 pages on GCP using LangChain, Cloud Run, Scheduler and Terraform β†’ 80% less manual tracking saving 6 hrs/week
  • Automated release publishing via LLM parsing and Firestore validation β†’ 50% less curation, 90% fewer feed mismatches

LangChain GCP Terraform Firestore Cloud Run

🏒 Kore.ai β€” Software Engineer Β |Β  Hyderabad, India Β |Β  Jan 2024 – Jul 2024
  • Built production RAG search service using LangChain, LlamaIndex, Elasticsearch and MongoDB β†’ 2M+ users, 90% better answer quality
  • Implemented hybrid BM25 + dense vector retrieval with analyzers, boosts and synonyms β†’ 25% better top-k hit rate
  • Fine-tuned embedding models and trained rerankers using Hugging Face Transformers β†’ 40% better retrieval accuracy

LangChain LlamaIndex Elasticsearch MongoDB Hugging Face

🏒 Kore.ai β€” Associate Software Engineer Β |Β  Hyderabad, India Β |Β  May 2022 – Dec 2023
  • Custom New Relic instrumentation across Python, Node.js, RabbitMQ, Redis and MongoDB β†’ 85% faster debugging (2 hrs β†’ 20 mins)
  • Built distributed Node.js ETL pipeline with OAuth2.0 across Confluence, SharePoint, Zendesk and ServiceNow β†’ 90% more searchable knowledge
  • Automated GPU scaling on AWS using boto3 and Jenkins β†’ $50K/yr saved
  • Designed and led intern onboarding program β†’ 10% team productivity increase

New Relic Node.js OAuth2.0 AWS Jenkins RabbitMQ Redis

🏒 Express Stores β€” Full Stack Software Engineer Β |Β  Gurgaon, India Β |Β  Jul 2021 – Apr 2022
  • Built Django REST APIs with S3, Paytm and Zoho integrations and optimized PostgreSQL queries β†’ 50% faster data retrieval
  • Built POS screens in React and React Native with pagination, caching and skeleton loaders β†’ 30% better dev velocity, 15% higher conversion

Django PostgreSQL React React Native S3


Snake animation


πŸ“Š Impact by the Numbers

πŸš€ πŸ” πŸ’°
2M+ users served by production RAG system 85% faster incident debugging $50K/yr saved via GPU autoscaling
90% improvement in answer quality 240+ LeetCode problems solved 3+ years professional experience

πŸ”­ Recently Built

πŸ€– Cisco AI Engineer Assistant

Extern Β· Cisco Systems Γ— CU Boulder

LLM-powered co-pilot helping network engineers navigate configs, intents and topologies using LangChain and MCP.

LangChain MCP Python

πŸ“Š Mining Crash Patterns

Data Mining Course Project

Full pipeline on NHTSA FARS 2023 β€” ML models, SHAP, association rules and a live Streamlit crash hotspot explorer.

Python scikit-learn Streamlit DBSCAN


πŸš€ Projects

Real-time crypto sentiment platform. Ingests Reddit and news, scores with BERT and VADER, streams live WebSocket charts and explains sentiment shifts with OpenAI. 5 backend services, 10 coins, CI pipelines per service.

Go Python React PostgreSQL Docker

Automates event creation by extracting details from images and audio using Tesseract OCR and Whisper, then syncs directly to Google Calendar. Deployed with Docker and Kubernetes. 90% fewer manual errors, saves 3+ hrs/week.

Python TypeScript Redis Kubernetes

Extracts pill imprints from photos using AWS Rekognition, looks up FDA drug data and answers safety questions via OpenAI. Includes LASA error detection and Redis caching.

Python AWS OpenAI Redis

Multi-server MCP agent with Claude and Gemini clients connected to a custom arXiv research server. Searches papers, extracts metadata and generates query-specific digests over stdio and HTTP transports.

Python Claude FastMCP


πŸ› οΈ Tech Stack

Languages

Python Go Java TypeScript C++

AI and ML

LangChain Hugging Face OpenAI

Daily dev (AI-assisted)

Cursor Claude

Backend

FastAPI Django Node.js Flask

Cloud and DevOps

AWS GCP Docker Kubernetes Terraform

Databases

PostgreSQL MongoDB Elasticsearch Redis


πŸ“ˆ GitHub Stats

GitHub stats Top languages
GitHub streak

πŸŽ“ Education

Degree Institution Year
MS in Computer Science University of Colorado Boulder 2024 – 2026
BE in Electronics and Communication Engineering BITS Pilani 2018 – 2022

Footer typing

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  1. Cisco-AI-Assistant Cisco-AI-Assistant Public

    Python

  2. Pill-Identification-and-Drug-Safety-Chatbot Pill-Identification-and-Drug-Safety-Chatbot Public

    Python 1 1

  3. Smart-Schedule Smart-Schedule Public

    Python

  4. cube_sat_project cube_sat_project Public

    C++

  5. CryptoPulse---Your-InvestMate CryptoPulse---Your-InvestMate Public

    TypeScript