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I'm Jasweer Tadikonda, an AI/ML Engineer with 5+ years of delivering GenAI, MLOps, and ML solutions across banking, healthcare, and telecom. I enjoy designing autonomous AI agents and multi-agent workflows using LangChain, LangGraph, and function/tool calling to create practical, production-ready AI systems. I thrive on turning complex data into actionable insights and reliable AI services that scale. I have built end-to-end ML pipelines with Azure ML, Databricks, and AWS SageMaker, focusing on performance, governance, and compliance (HIPAA, PCI DSS, KYC/AML). I create data-driven solutions for churn prediction, fraud detection, and insurance analytics, while maintaining robust data lineage, security, and monitoring. I’m always eager to learn, collaborate, and deliver value through thoughtful architecture and clean, maintainable code.…I'm Jasweer Tadikonda, an AI/ML Engineer with 5+ years of delivering GenAI, MLOps, and ML solutions across banking, healthcare, and telecom. I enjoy designing autonomous AI agents and multi-agent workflows using LangChain, LangGraph, and function/tool calling to create practical, production-ready AI systems. I thrive on turning complex data into actionable insights and reliable AI services that scale. I have built end-to-end ML pipelines with Azure ML, Databricks, and AWS SageMaker, focusing on performance, governance, and compliance (HIPAA, PCI DSS, KYC/AML). I create data-driven solutions for churn prediction, fraud detection, and insurance analytics, while maintaining robust data lineage, security, and monitoring. I’m always eager to learn, collaborate, and deliver value through thoughtful architecture and clean, maintainable code.

Jasweer Tadikonda

AI Engineer, Data Scientist, Data Analyst, +2

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I'm Jasweer Tadikonda, an AI/ML Engineer with 5+ years of delivering GenAI, MLOps, and ML solutions across banking, healthcare, and telecom. I enjoy designing autonomous AI agents and multi-agent workflows using LangChain, LangGraph, and function/tool calling to create practical, production-ready AI systems. I thrive on turning complex data into actionable insights and reliable AI services that scale. I have built end-to-end ML pipelines with Azure ML, Databricks, and AWS SageMaker, focusing on performance, governance, and compliance (HIPAA, PCI DSS, KYC/AML). I create data-driven solutions for churn prediction, fraud detection, and insurance analytics, while maintaining robust data lineage, security, and monitoring. I’m always eager to learn, collaborate, and deliver value through thoughtful architecture and clean, maintainable code.…I'm Jasweer Tadikonda, an AI/ML Engineer with 5+ years of delivering GenAI, MLOps, and ML solutions across banking, healthcare, and telecom. I enjoy designing autonomous AI agents and multi-agent workflows using LangChain, LangGraph, and function/tool calling to create practical, production-ready AI systems. I thrive on turning complex data into actionable insights and reliable AI services that scale. I have built end-to-end ML pipelines with Azure ML, Databricks, and AWS SageMaker, focusing on performance, governance, and compliance (HIPAA, PCI DSS, KYC/AML). I create data-driven solutions for churn prediction, fraud detection, and insurance analytics, while maintaining robust data lineage, security, and monitoring. I’m always eager to learn, collaborate, and deliver value through thoughtful architecture and clean, maintainable code.

Available to hire

I’m Jasweer Tadikonda, an AI/ML Engineer with 5+ years of delivering GenAI, MLOps, and ML solutions across banking, healthcare, and telecom. I enjoy designing autonomous AI agents and multi-agent workflows using LangChain, LangGraph, and function/tool calling to create practical, production-ready AI systems. I thrive on turning complex data into actionable insights and reliable AI services that scale.

I have built end-to-end ML pipelines with Azure ML, Databricks, and AWS SageMaker, focusing on performance, governance, and compliance (HIPAA, PCI DSS, KYC/AML). I create data-driven solutions for churn prediction, fraud detection, and insurance analytics, while maintaining robust data lineage, security, and monitoring. I’m always eager to learn, collaborate, and deliver value through thoughtful architecture and clean, maintainable code.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Work Experience

Gen AI Engineer at Chat.co (Sosa & Arvelo LLC)

July 1, 2025 - Present

Architected a multi-tenant AI chatbot SaaS platform using NestJS, FastAPI, LangChain, and AWS Bedrock streaming pipelines. Built Python 3.12 async crawling microservices with FastAPI, Fire Crawl, and asyncio for distributed web scraping at scale. Engineered RAG retrieval pipelines with pgvector, Bedrock Knowledge Bases, and LangChain to improve response accuracy. Integrated Slack, WhatsApp, Discord, Telegram, and Teams channels enabling omnichannel AI chatbot deployment. Deployed containerized microservices on AWS App Runner, ECR, S3, and SQS with CI/CD automation. Accelerated feature development using Claude Code AI-assisted programming, reducing delivery cycles by 40%.

GenAI Engineer at Northern Arizona University

November 1, 2024 - May 1, 2025

Designed a GraphRAG-based academic chatbot using LangChain and Neo4j for course policy and faculty guideline retrieval. Integrated FERPA-aligned data compliance and access control mechanisms. Optimized retrieval pipelines with Pinecone and FAISS, improving response accuracy by 28% and reducing latency by 35%. Implemented LangSmith and MLflow observability pipelines for prompt evaluation and traceability. Deployed scalable chatbot APIs via Azure Functions, Docker, and Kubernetes CI/CD achieving 99% uptime. Designed autonomous AI agents with tool calling using LangChain/LangGraph and implemented evaluation pipelines to debug traces and reduce hallucinations.

AI Engineer at Bharat Airtel - Infosys Ltd

June 1, 2023 - December 1, 2023

Engineered customer 360 pipelines using PySpark and Azure Databricks, cutting preprocessing time by 40% and improving data quality. Developed RNN, BiLSTM, and BERT models for sentiment and churn analysis, improving prediction accuracy by 25%. Streamed 100K+ records via Kafka and Azure Blob Storage, ensuring low-latency data flow and fault tolerance. Deployed ensemble model through FastAPI and Docker on Azure ML, achieving 99% uptime. Tracked metrics and model drift using MLflow, enhancing monitoring and governance for compliance and retraining workflows. Created Plotly dashboards for business teams, visualizing churn patterns and ROI improvements from predictive interventions.

Junior AI Engineer at Entris Bank - Tata Consultancy Services

August 1, 2020 - June 1, 2023

Built real-time fraud detection pipelines and risk management models using PyTorch, XGBoost, and Spark, reducing false positives by 18% and losses by $1.2M. Designed AWS Glue ETL workflows to process 284K+ transactions, integrating S3, Redshift, and MSK (Kafka) for ingestion and storage. Trained and tuned imbalanced-data models improving precision and recall while maintaining high AUC. Deployed inference services with SageMaker, Lambda, and API Gateway, maintaining 99% uptime under production loads. Automated CI/CD with Jenkins, CloudWatch, Step Functions, and KMS encryption, improving ML release efficiency by 35%. Delivered precision-recall threshold optimization and ensemble evaluation dashboards using Plotly and Seaborn for stakeholder insights.

AI Engineer Intern at Smart Bridge in Collaboration with IBM

January 1, 2020 - July 1, 2020

Built a CNN-based people-counting system for retail sites, improving operational visibility by 25% and forecasting accuracy by 20%. Developed PySpark ETL pipelines to clean and aggregate sales and foot-traffic data, enhancing data quality and reliability. Automated deployment using Docker, Flask, and Jenkins, enabling rapid iteration and reproducible production rollouts. Integrated real-time dashboards with Grafana and Prometheus, boosting monitoring efficiency by 30% for retail analytics. Collaborated with IBM mentors to document workflows and deliver insights to stakeholders using Matplotlib and Streamlit visualizations.