AI/ML Engineer & GenAI Architect
I'm Jigar Prajapati — your go-to partner for shipping real-world AI systems. From LLM copilots and document intelligence to data pipelines and AI-powered SaaS, I help founders and enterprises move from idea to measurable impact.
Secure, scalable MLOps & AI-integrated microservices tailored for business-critical workflows.
I design and deploy intelligent software across the full stack — combining cloud-native engineering, data strategy, and applied machine learning. My sweet spot: building GenAI experiences on robust backends, integrating with live business data, and ensuring security, observability, and compliance.
AWS | Docker | Terraform | CI/CD pipelines
Engage on end-to-end delivery or sprint-based engagements. I plug into founder-led teams, innovation pods, and enterprises seeking pragmatic AI adoption.
Craft multi-turn LLM apps, knowledge assistants, and workflow agents with retrieval, memory, and safety guardrails tailored to your domain.
Stand up modern data pipelines, semantic search, and event-driven architectures that make AI features dependable and observable.
From idea validation to launch — deliver end-to-end SaaS with AI-first user journeys, scalable APIs, and cloud infrastructure hardened for growth.
Led backend architecture and AI integration for a large-scale job marketplace. Delivered retrieval-augmented candidate ranking, employer-facing analytics, and CI/CD on AWS EC2 with automated scaling.
Built multi-source document verification microservices with ML-driven anomaly detection. Containerized on AWS with Docker, orchestrated pipelines, and real-time dashboards for compliance teams.
Delivered AI-enabled inventory planning, dynamic pricing, and fulfillment orchestration for high-volume sellers. Implemented event-driven services and analytics dashboards to optimize decisions.
OpenAI, Anthropic, Azure OpenAI, HuggingFace, LangChain, LlamaIndex, Pinecone, Weaviate, Vector DBs
AWS (SageMaker, ECS, Lambda, Step Functions), GCP, Docker, Terraform, Kubernetes, Prometheus, Grafana
Node.js, Python, FastAPI, React, Next.js, Typescript, PostgreSQL, MongoDB, Redis, RabbitMQ, Microservices
GitHub, Linear, JIRA, Notion, Figma, Product discovery workshops, AI readiness assessments
Whether we're building a GenAI assistant or replatforming legacy systems, my delivery playbook focuses on clarity, rapid iteration, and measurable ROI.
Workshop needs, assess data, and define success metrics. Align on scope, architecture, and compliance.
Ship a working slice fast. Validate with stakeholders, instrument feedback loops, and iterate on prompts.
Harden infrastructure, automate deployments, add guardrails, and transition to continuous improvement.
Share a few lines about your idea or challenge. I respond within 24 hours with a discovery call slot and an initial game plan.