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krishnagajera45/README.md

โœจ Krishna Gajera โœจ


๐Ÿš€ About Me

๐ŸŽ“ MS Computer Engineering @ San Diego State University
๐Ÿ’ผ 3 years as SDE (ML & Cloud/DevOps QA) @ Capgemini, Mumbai
๐ŸŒ Perplexity AI Campus Ambassador @ SDSU โ€” promoting agentic AI & research workflows
๐Ÿง  Passionate about building end-to-end ML systems that go from idea โ†’ deployed product in production

I design and ship intelligent, cloud-native systems โ€” spanning MLOps pipelines, LLM/agentic workflows, real-time inference stacks, and DevOps automation. I thrive at the intersection of machine learning, cloud infrastructure, and software craftsmanship.


๐Ÿ”ญ Currently Building

Project Stack
๐Ÿฆ Topic Intelligence Service Prefect ยท BERTopic ยท Hugging Face ยท Ollama ยท vLLM ยท MLflow ยท K8s
๐Ÿค– Job Autopilot Agentic AI LangGraph ยท OpenAI ยท RAG ยท Mem0 ยท React ยท LaTeX
๐Ÿ“ก Decentralized UAV Swarm Simulator Python ยท SimPy ยท 3-D Visualization
๐Ÿ”ฌ Edge ML Vision Pipeline PyTorch ยท ONNX ยท TensorRT ยท IoT Camera

๐Ÿง  Tech Stack & Toolbox

๐Ÿ’ป Languages

Python Java JavaScript SQL Bash

๐Ÿค– ML / AI

PyTorch scikit-learn HuggingFace spaCy ONNX MLflow PySpark

๐Ÿฆพ LLM / Agentic AI

LangChain OpenAI LangGraph ยท CrewAI ยท RAG ยท Prompt Engineering ยท vLLM ยท Ollama ยท TensorRT ยท Claude Code ยท Gemini

โ˜๏ธ Cloud / DevOps

AWS Azure GCP Docker Kubernetes Terraform Ansible Jenkins GitHub Actions

AWS EKS ยท Lambda ยท IAM ยท VPC ยท CloudFormation ยท CloudWatch ยท Azure App Services ยท Azure Functions ยท Azure DevOps

๐Ÿ› ๏ธ Serving / APIs

FastAPI Next.js Streamlit OpenAPI/Swagger ยท Webhooks ยท REST

๐Ÿ—„๏ธ Databases

PostgreSQL MySQL Redis Elasticsearch FAISS ยท Qdrant ยท NoSQL

๐Ÿ“ˆ Observability & Monitoring

Prometheus Grafana Splunk OpenTelemetry ยท Logging/Alerting


๐Ÿ’ผ Work Experience

๐Ÿข Capgemini โ€” Mumbai, India (July 2021 โ€“ June 2024)

Software Development Engineer ยท ML & Cloud/DevOps QA

  • ๐Ÿงฎ Delivered an AI underwriting/quote-assist capability for a Guidewire insurance platform predicting coverage/premium ranges โ†’ 30% improvement in decision speed & consistency
  • โ˜๏ธ Built and deployed the model serving stack on AWS SageMaker, integrating predictions via secure REST APIs with versioned contracts
  • ๐Ÿ”„ Implemented an end-to-end MLOps pipeline (data validation โ†’ model packaging โ†’ deployment gates) using CI/CD, Docker, and AWS EKS
  • โš™๏ธ Owned CI/CD pipeline for Guidewire Policy Center across Azure & AWS โ€” Jenkins, GitHub Actions, and Azure DevOps for automated quality gates
  • โšก Reduced regression runtime from 12h โ†’ 7h (~40%) by building a parallel Python/Java automation framework with Selenium, Pytest & Docker
  • ๐Ÿ“ฆ Increased build stability +20% by automating pre-merge quality gates and containerizing workloads with Kubernetes
  • ๐Ÿ—๏ธ Provisioned cloud infrastructure across AWS & Azure with Terraform, cutting environment setup time by 80%
  • ๐Ÿ“Š Centralized CI logs in Splunk and built telemetry dashboards in Grafana โ†’ defect reopen rates dropped from 22% โ†’ 8%, debugging turnaround improved 34%
  • ๐ŸŒ Built an internal web quality analytics platform (FastAPI ยท React ยท PostgreSQL) โ†’ reduced false-red builds 32%, saved ~20 min/build
  • ๐Ÿ” Operationalized hosted microservices via AWS API Gateway with JWT/OAuth security and rate limiting for stress/load/performance testing

๐ŸŒŸ Perplexity โ€” San Diego, CA (June 2025 โ€“ Present)

Campus / Student Ambassador

  • ๐ŸŽ“ Led hands-on classroom demos of Perplexity & the Comet browser for agentic research workflows
  • ๐Ÿ“š Helped students streamline literature review, source-grounded writing, and academic productivity across SDSU

๐Ÿšง Featured Projects

๐Ÿฆ Topic Intelligence Service

Real-time topic intelligence pipeline on 3M+ tweets
Prefect ยท BERTopic ยท Hugging Face ยท Ollama ยท vLLM ยท MLflow ยท Docker ยท Kubernetes ยท Streamlit

  • Automated labeling via Ollama; served on vLLM
  • Streamlit dashboard for drift inspection & human-in-the-loop ops

๐Ÿค– Job Autopilot & Agentic AI Orchestrator

Agentic job-application system reducing manual resume tailoring by 92%
Python ยท LangGraph ยท OpenAI ยท RAG ยท Mem0 ยท React ยท LaTeX

  • Automated resume parsing, LaTeX resume generation & cover-letter drafting
  • Surfaces skill gaps; React UI with containerized execution

๐Ÿ“ท Edge ML Vision โ€” Real-Time Object Detection

Real-time object detection pipeline optimized for IoT edge deployment
PyTorch ยท ONNX ยท TensorRT ยท Dataset Augmentation

  • Training, quantization & export to ONNX
  • TensorRT optimization for edge inference

๐ŸŽ Food Freshness Detection โ€” IoT & ML

IoT-based freshness monitoring with 92% model accuracy
Python ยท scikit-learn ยท NodeMCU ยท MQ-4 ยท MQ-9 ยท DHT11

  • Integrated gas & environmental sensors with cloud pipeline
  • ๐Ÿ“„ Published in Springer LNNS proceedings

๐Ÿ“ฐ Featured Publication

๐Ÿ“„ The Freshness of Food Detection Using IoT and Machine Learning
Springer, Advances in Intelligent Systems and Computing, 2022
๐Ÿ“Œ Read here

Sensor arrays + ML models detecting food freshness in real-time โ€” tech that literally smells what's cooking! ๐Ÿฅผ


๐ŸŽ“ Certifications

Badge Certification
โ˜๏ธ AWS Certified Solutions Architect โ€“ Associate
๐Ÿค– NVIDIA Certified AI Infrastructure and Operations โ€“ Associate
๐Ÿ”ต Azure Developer Associate
๐ŸŸฃ Terraform Associate
โ˜๏ธ AWS Cloud Practitioner
๐Ÿ”ท Azure Cloud Fundamentals (AZ-900)
๐ŸŸก Google Cloud Fundamentals
๐Ÿ”ง Jenkins: Automating Your Delivery Pipeline

๐Ÿ† Highlights & Achievements

  • ๐Ÿ… Rockstar Recognition & Best Team Award @ Capgemini
  • ๐Ÿค– UFT One Certified Professional | Jenkins Pipeline Automation
  • ๐ŸŒ Perplexity AI Campus Ambassador โ€” driving AI literacy across SDSU

๐Ÿค Open to Collaborate On

  • ๐Ÿฆพ LLM / Agentic AI systems and RAG architectures
  • โ˜๏ธ MLOps pipelines and cloud-native ML deployments
  • ๐Ÿ” DevOps & QA automation frameworks
  • ๐Ÿง  ML-powered IoT innovations

๐Ÿ“Š GitHub Activity


โœจ "Build things that ship, learn things that matter." โœจ

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