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Agentic AI and backend engineer with 4+ years of experience building AI-enabled workflow automation, RAG systems, and production APIs/services. Hands-on development of stateful multi-agent workflows using LangGraph and integration of Anthropic Claude via AWS Bedrock to convert Jira requirements into validated AWS Glue jobs and Amazon MWAA DAGs with human-in-the-loop approvals. Experienced across the LLM application lifecycle, including enterprise retrieval, structured outputs, automated evaluation, observability, infrastructure as code, and deployment-oriented engineering. Skilled in Python/Java backend development, async systems, and robust validation pipelines for reliable enterprise operations.…Agentic AI and backend engineer with 4+ years of experience building AI-enabled workflow automation, RAG systems, and production APIs/services. Hands-on development of stateful multi-agent workflows using LangGraph and integration of Anthropic Claude via AWS Bedrock to convert Jira requirements into validated AWS Glue jobs and Amazon MWAA DAGs with human-in-the-loop approvals. Experienced across the LLM application lifecycle, including enterprise retrieval, structured outputs, automated evaluation, observability, infrastructure as code, and deployment-oriented engineering. Skilled in Python/Java backend development, async systems, and robust validation pipelines for reliable enterprise operations.

AKASH PATIL

AI Engineer, Back-End Developer, Software Engineer, +2

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Agentic AI and backend engineer with 4+ years of experience building AI-enabled workflow automation, RAG systems, and production APIs/services. Hands-on development of stateful multi-agent workflows using LangGraph and integration of Anthropic Claude via AWS Bedrock to convert Jira requirements into validated AWS Glue jobs and Amazon MWAA DAGs with human-in-the-loop approvals. Experienced across the LLM application lifecycle, including enterprise retrieval, structured outputs, automated evaluation, observability, infrastructure as code, and deployment-oriented engineering. Skilled in Python/Java backend development, async systems, and robust validation pipelines for reliable enterprise operations.…Agentic AI and backend engineer with 4+ years of experience building AI-enabled workflow automation, RAG systems, and production APIs/services. Hands-on development of stateful multi-agent workflows using LangGraph and integration of Anthropic Claude via AWS Bedrock to convert Jira requirements into validated AWS Glue jobs and Amazon MWAA DAGs with human-in-the-loop approvals. Experienced across the LLM application lifecycle, including enterprise retrieval, structured outputs, automated evaluation, observability, infrastructure as code, and deployment-oriented engineering. Skilled in Python/Java backend development, async systems, and robust validation pipelines for reliable enterprise operations.

Available to hire

Agentic AI and backend engineer with 4+ years of experience building AI-enabled workflow automation, RAG systems, and production APIs/services. Hands-on development of stateful multi-agent workflows using LangGraph and integration of Anthropic Claude via AWS Bedrock to convert Jira requirements into validated AWS Glue jobs and Amazon MWAA DAGs with human-in-the-loop approvals.

Experienced across the LLM application lifecycle, including enterprise retrieval, structured outputs, automated evaluation, observability, infrastructure as code, and deployment-oriented engineering. Skilled in Python/Java backend development, async systems, and robust validation pipelines for reliable enterprise operations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Work Experience

AI Engineer at Tissa Technologies LLC

September 1, 2024 - Present

Developed an agentic AI platform using LangGraph and AWS Bedrock that converts Jira requirements into validated AWS Glue jobs and Amazon MWAA DAGs. Built stateful multi-agent workflows (Planning, RAG, CodeGen, Validation, Pull Request, Deployment) with shared state, conditional routing, structured handoffs, retry policies, and human-in-the-loop approval gates. Integrated Anthropic Claude through AWS Bedrock Runtime for requirement analysis, workflow planning, code generation, validation, and repair of generated artifacts. Implemented a LangChain-based RAG pipeline using enterprise coding standards, existing DAG patterns, and operational documentation for context grounding. Added Pydantic structured outputs and tool interfaces to transform Jira requests into validated workflow specs, ran automated evaluation (schema compliance, linting, DAG parsing, security checks, pytest), and instrumented end-to-end traces/metrics using OpenTelemetry and Datadog. Automated GitHub PR workflows and use

Graduate Research Assistant – AI/ML Research at NIU

August 1, 2023 - May 31, 2024

Developed Python and Scikit-learn pipelines for processing heartbeat-sensor data supporting human-robot interaction research and predictive modeling. Contributed to an NLP literature-review pipeline to classify, rank, and summarize findings from 500+ academic papers, reducing research time and improving productivity. Applied text preprocessing, semantic similarity, information extraction, and relevance ranking to identify themes and produce structured, traceable outputs. Refactored legacy code into modular components, added unit tests and data validation, and standardized reproducible Colab workflows.

Software Engineer at STISSA Technology LLP

June 1, 2020 - May 31, 2022

Contributed to a web-based business operations platform for employee management, customer accounts, projects, timesheets, and administrative approval workflows. Built Java/Spring Boot REST APIs for onboarding, project assignments, timesheet processing, approvals, and role-based access. Developed React UI components and integrated frontend workflows with backend APIs for different dashboards. Designed PostgreSQL schema, queries, and indexes for employee/project/timesheet/approval data. Implemented JWT authentication, role-based authorization, input validation, centralized exception handling, and audit logging. Containerized services with Docker and supported CI/CD for builds/tests/deployments; collaborated with stakeholders in Agile delivery.