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I’m an AI engineer and Python backend developer with 5 years of experience building workflow automation, machine learning solutions, and LLM-powered tools that solve real business problems. Most recently at JDIT Software Solutions, I developed Python REST APIs to automate insurance workflows, built LLM-assisted document processing features, prototyped AI agent workflows with LangChain, and improved integration reliability and API performance through backend optimization. Before that, at FIS, I worked on Python and SQL backend workflows that increased throughput and eliminated manual processing time, and my earlier experience in ERP and software engineering gave me a strong foundation in systems thinking, process improvement, and delivery. What makes me stand out is my ability to combine backend engineering, AI/ML, and workflow automation with a practical, business-first approach—I don’t just build models or features, I translate ambiguous operational problems into production-ready solutions that improve efficiency, decision-making, and scale.…I’m an AI engineer and Python backend developer with 5 years of experience building workflow automation, machine learning solutions, and LLM-powered tools that solve real business problems. Most recently at JDIT Software Solutions, I developed Python REST APIs to automate insurance workflows, built LLM-assisted document processing features, prototyped AI agent workflows with LangChain, and improved integration reliability and API performance through backend optimization. Before that, at FIS, I worked on Python and SQL backend workflows that increased throughput and eliminated manual processing time, and my earlier experience in ERP and software engineering gave me a strong foundation in systems thinking, process improvement, and delivery. What makes me stand out is my ability to combine backend engineering, AI/ML, and workflow automation with a practical, business-first approach—I don’t just build models or features, I translate ambiguous operational problems into production-ready solutions that improve efficiency, decision-making, and scale.

Mrunal Meshram

Data Analyst, Data Scientist, AI Developer, +4

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I’m an AI engineer and Python backend developer with 5 years of experience building workflow automation, machine learning solutions, and LLM-powered tools that solve real business problems. Most recently at JDIT Software Solutions, I developed Python REST APIs to automate insurance workflows, built LLM-assisted document processing features, prototyped AI agent workflows with LangChain, and improved integration reliability and API performance through backend optimization. Before that, at FIS, I worked on Python and SQL backend workflows that increased throughput and eliminated manual processing time, and my earlier experience in ERP and software engineering gave me a strong foundation in systems thinking, process improvement, and delivery. What makes me stand out is my ability to combine backend engineering, AI/ML, and workflow automation with a practical, business-first approach—I don’t just build models or features, I translate ambiguous operational problems into production-ready solutions that improve efficiency, decision-making, and scale.…I’m an AI engineer and Python backend developer with 5 years of experience building workflow automation, machine learning solutions, and LLM-powered tools that solve real business problems. Most recently at JDIT Software Solutions, I developed Python REST APIs to automate insurance workflows, built LLM-assisted document processing features, prototyped AI agent workflows with LangChain, and improved integration reliability and API performance through backend optimization. Before that, at FIS, I worked on Python and SQL backend workflows that increased throughput and eliminated manual processing time, and my earlier experience in ERP and software engineering gave me a strong foundation in systems thinking, process improvement, and delivery. What makes me stand out is my ability to combine backend engineering, AI/ML, and workflow automation with a practical, business-first approach—I don’t just build models or features, I translate ambiguous operational problems into production-ready solutions that improve efficiency, decision-making, and scale.

Available to hire

I’m an AI engineer and Python backend developer with 5 years of experience building workflow automation, machine learning solutions, and LLM-powered tools that solve real business problems. Most recently at JDIT Software Solutions, I developed Python REST APIs to automate insurance workflows, built LLM-assisted document processing features, prototyped AI agent workflows with LangChain, and improved integration reliability and API performance through backend optimization. Before that, at FIS, I worked on Python and SQL backend workflows that increased throughput and eliminated manual processing time, and my earlier experience in ERP and software engineering gave me a strong foundation in systems thinking, process improvement, and delivery. What makes me stand out is my ability to combine backend engineering, AI/ML, and workflow automation with a practical, business-first approach—I don’t just build models or features, I translate ambiguous operational problems into production-ready solutions that improve efficiency, decision-making, and scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Analyst at Fiserv

May 1, 2022 - August 31, 2023

Conducted data analysis on large datasets using SQL and Python, developing predictive analytics models that optimized processes and increased efficiency by 45%. Created Power BI visualisations for stakeholder management, enabling trend analysis and insights that reduced decision-making time by 25%. Implemented Machine Learning algorithms with R and Python for customer segmentation, improving targeting and adoption rates by 30%. Collaborated in Agile teams to support self-serve reporting, coaching business users on data access and ensuring data governance controls.

Data Analyst at Datamatics

October 1, 2019 - May 31, 2022

Performed data analysis and trend analysis on complex multi-dimensional datasets, identifying patterns that enhanced process efficiency by 50%. Developed visualisations and dashboards using Power BI and Tableau, facilitating communication of insights to stakeholders across business units. Built ML models in Python and R for predictive analytics, supporting strategic initiatives with actionable data-driven recommendations. Managed stakeholder requirements for AI use cases, implementing solutions that streamlined workflows by 20% while maintaining high data quality. Worked in Agile environments to curate data sources, promoting self-serve analytics and collaboration with cross-functional teams.

Python Developer / Software Engineer at JDIT Software Solutions

August 1, 2025 - Present

Developed Python-based REST APIs that automated insurance workflow steps — including claims handling and policy data retrieval — eliminating manual processing effort across internal operations and reducing end-to-end cycle time by approximately 30%. Built LLM-assisted document processing features using generative AI techniques to improve internal query handling and accelerate review of sensitive customer records, achieving roughly 30% faster turnaround on document-heavy operational tasks. Prototyped AI agent workflows with LangChain to support multi-step task orchestration and document understanding, demonstrating direct experience building autonomous-style automation systems for production-adjacent business challenges. Integrated internal and third-party services into cohesive backend workflows, enabling cleaner data exchange across systems and reducing integration defects by 20% through well-defined API contracts and validation logic. Optimised SQL queries and backend processing

Software Engineer at FIS

September 1, 2023 - January 31, 2024

Designed Python and SQL backend workflows that increased payment platform throughput by 22% and eliminated operational bottlenecks in production processing, demonstrating the ability to translate ambiguous business requirements into scalable, system-driven automation. Built ETL-style processing pipelines that replaced manual operational steps with repeatable, automated workflows, cutting manual effort by more than 60 hours per month and improving reliability for data-heavy business processes. Translated complex business and regulatory requirements into production-ready backend services, ensuring technical solutions aligned with real operational constraints and supported downstream decision-making across the organisation. Collaborated with infrastructure and DevSecOps teams to resolve database performance issues and strengthen security controls in high-availability environments, improving system resilience and reducing incident frequency. Implemented structured testing and validation fo

Software Developer at Fiserv

May 1, 2022 - August 31, 2023

Designed and maintained Python-based backend systems for high-volume financial processing, improving reliability and reducing end-to-end processing time by up to 40% through targeted performance optimisation and workflow redesign. Built automation solutions that replaced manual operational steps across reporting and transaction workflows, increasing team productivity and freeing engineers to focus on higher-value work. Translated business and regulatory requirements into production-ready backend services, ensuring technical solutions aligned with real operational constraints and supported scalable, repeatable delivery across client-facing systems. Diagnosed performance bottlenecks across cloud-enabled systems and improved throughput by tuning data flows, storage patterns, and job execution paths, achieving measurable gains in system responsiveness and operational reliability. Partnered with cross-functional teams to support deployment, monitoring, and system stability for business-crit

Data & BI Engineer at Datamatics

October 1, 2019 - May 31, 2022

Built Python scripts for data extraction and API-based ingestion, improving pipeline consistency and reducing manual data handling across operational workflows — establishing foundational automation patterns that underpin modern AI workflow engineering. Designed SQL transformation processes and ETL logic that improved data integration accuracy by 20% for analytics and reporting use cases, enabling more reliable inputs for predictive modelling and business decision-making. Automated BI and reporting tasks end-to-end, cutting manual reporting time by 50% and freeing teams to focus on higher-value operational work. Improved ETL performance through indexing strategies and SQL query optimisation, achieving query speed gains of up to 35% in production systems and supporting downstream analytics at scale. Partnered with business stakeholders to document data flows, surface operational insights, and deliver automation solutions that supported data-driven decision-making — building the clie