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I am a results-driven Full Stack AI Engineer with a passion for building reliable, scalable AI agent systems. I thrive at the intersection of software engineering and AI, delivering end-to-end solutions from prototype to production while maintaining a strong focus on guardrails, uncertainty quantification, and observability. I have a track record of integrating AI agents with external APIs, cloud infrastructure on AWS and GCP, and data workflows in fast-moving startup environments. I enjoy turning ambiguity into robust, auditable systems and collaborating across teams to drive measurable impact.…I am a results-driven Full Stack AI Engineer with a passion for building reliable, scalable AI agent systems. I thrive at the intersection of software engineering and AI, delivering end-to-end solutions from prototype to production while maintaining a strong focus on guardrails, uncertainty quantification, and observability. I have a track record of integrating AI agents with external APIs, cloud infrastructure on AWS and GCP, and data workflows in fast-moving startup environments. I enjoy turning ambiguity into robust, auditable systems and collaborating across teams to drive measurable impact.

Yathish Sadashivareddy

Full Stack Developer, AI Engineer, Back-End Developer, +2

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I am a results-driven Full Stack AI Engineer with a passion for building reliable, scalable AI agent systems. I thrive at the intersection of software engineering and AI, delivering end-to-end solutions from prototype to production while maintaining a strong focus on guardrails, uncertainty quantification, and observability. I have a track record of integrating AI agents with external APIs, cloud infrastructure on AWS and GCP, and data workflows in fast-moving startup environments. I enjoy turning ambiguity into robust, auditable systems and collaborating across teams to drive measurable impact.…I am a results-driven Full Stack AI Engineer with a passion for building reliable, scalable AI agent systems. I thrive at the intersection of software engineering and AI, delivering end-to-end solutions from prototype to production while maintaining a strong focus on guardrails, uncertainty quantification, and observability. I have a track record of integrating AI agents with external APIs, cloud infrastructure on AWS and GCP, and data workflows in fast-moving startup environments. I enjoy turning ambiguity into robust, auditable systems and collaborating across teams to drive measurable impact.

Available to hire

I am a results-driven Full Stack AI Engineer with a passion for building reliable, scalable AI agent systems. I thrive at the intersection of software engineering and AI, delivering end-to-end solutions from prototype to production while maintaining a strong focus on guardrails, uncertainty quantification, and observability.

I have a track record of integrating AI agents with external APIs, cloud infrastructure on AWS and GCP, and data workflows in fast-moving startup environments. I enjoy turning ambiguity into robust, auditable systems and collaborating across teams to drive measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

German

Advanced

English

Fluent

Work Experience

Gen AI and NLP Developer at Schwarz IT

February 1, 2025 - Present

Built and published ConfidentLM, a production-grade Python library for LLM guardrails and uncertainty quantification using log probability analysis and confidence calibration (Isotonic and Platt scaling) with LangSmith-compatible tracing hooks, improving AI agent reliability by 27% on GAIA benchmarks. Designed and deployed agentic orchestration pipelines using LangGraph with ConfidentLM integrated into Smolagents and PydanticAI frameworks, implementing self-regulating decision loops based on uncertainty thresholds, raising task accuracy from 55% to 70% while enabling debuggable, auditable reasoning traces. Engineered a Human-in-the-Loop automation system for high-volume text classification, routing uncertain predictions to human reviewers boosting accuracy from 62% to 86% and cutting manual workload by 35%. Shipped ConfidentLM as a production microservice on AWS Lambda, ECS Fargate with FastAPI REST endpoints, Sentry error tracking, and Grafana/Prometheus observability fully automated

Full Stack AI Developer at Altruistic Consultancy

March 1, 2024 - January 31, 2025

Engineered a dual portal consultancy platform using FastAPI and React with Next.js, Firebase Auth with role-based access for student and admin portals, deployed on GCP Cloud Run with auto-scaling, GitHub CI/CD and GCP Monitoring from prototype to production. Built a custom MCP server exposing college search, German university admission criteria, and student profile context as agent tools, enabling the internal recommendation agent to perform dynamically.

Software Developer II at Sabre Corporation

June 1, 2023 - February 29, 2024

Engineered a production RAG backed by LangChain and GraphRAG, processing structured and unstructured data via ChromaDB and Neo4j hybrid retrieval; served 2,000+ daily queries via FastAPI and AWS S3 with WebSocket streaming and sub-2s latency on ECS Fargate. Automated routing of 50,000+ monthly incidents through an ETL and classification by CNN and LSTM pipeline, achieving 90% accuracy; implemented MLOps pipeline on AWS SQS with drift detection, data quality monitoring, and model retraining reducing manual triage time by 65%. Built SynthDataGen microservice, a synthetic data generator with PostgreSQL persistence, exposing functionality via FastAPI with JWT auth and AWS SQS event streaming; reduced data provisioning time by 40% with full CI/CD automation and Prometheus monitoring.

Associate Software Developer at Sabre Corporation

July 1, 2020 - June 30, 2023

Engineered MQBOT as a production service—a predictive anomaly detection system with CNN/LSTM forecasting for server failures and auto-triggered Ansible remediation workflows, reducing middleware incidents by 55% with REST API integration for real-time alerting. Built a real-time SLA compliance dashboard using React and PySpark with Redis caching and PostgreSQL, deployed on Kubernetes, reducing report generation from 2 hours to 15 minutes and enabling 50+ engineers to track performance KPIs in real time.