Open to opportunities

Sujanesh Jasti Jasti

@sujaneshjastijasti

Senior AI software engineer building scalable, production-grade ML and LLM systems for regulated, high-scale environments.

United States

Message

What I'm looking for

I seek roles building production ML/LLM systems with strong engineering ownership, scalable cloud-native deployments, observability, and cross-functional collaboration in regulated or high-scale environments.

I am a Senior AI Software Engineer with 9+ years building production-grade software systems and applied AI solutions across enterprise and consumer environments. I specialize in backend engineering, AI/ML system integration, and cloud-native architectures, driving LLM applications and ML pipelines from prototype to reliable production.

At Mattress Firm and prior roles at Citi and IBM/Kyndryl, I designed and productionized LLM-powered recommendation, semantic search, and fraud detection systems, improving operational metrics—such as reducing onboarding time by 30%, cutting support queries by 25%, and improving model accuracy and latency significantly.

I thrive in regulated and high-scale contexts, bringing hands-on experience with model deployment, observability, inference optimization, and cross-functional collaboration to deliver maintainable, auditable AI services that meet performance, reliability, and compliance goals.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Mattress Firm

Sep 2024 - Present (1 year 9 months)

Built and productionized LLM-powered recommendation, search, and customer support systems used by 6,000+ in-store associates, reducing onboarding/training time by 30% and internal support queries by 25% while achieving sub-100ms query latencies at peak.

LLM Semantic Search fastAPI Embeddings Vector Databases AWS Observability

Senior Software Engineer

Citi

Dec 2023 - Sep 2024 (9 months)

Enhanced ML-driven fraud detection and compliance systems, improving model accuracy by 25% and reducing false positives by 30%, and delivered LLM document understanding that cut manual review time 3x for regulated workflows.

Fraud Detection fastAPI ETL Docker CI CD Cloud Native

Senior Software Engineer

IBM / Kyndryl

Feb 2021 - Sep 2023 (2 years 7 months)

Built backend services and ML pipelines for an AIOps platform ingesting tens of millions of events daily, delivering 10M+ actionable insights per month and reducing critical incidents and MTTR substantially for enterprise clients.

AI Ops Anomaly Detection Python Spark Kubernetes Microservices Observability

Software Engineer

Infosys

Mar 2018 - Jan 2021 (2 years 10 months)

Transitioned backend systems to cloud-native, built data ingestion and transformation workflows feeding analytics and early ML use cases, reducing batch processing times by 30% and improving data reliability.

Backend Engineering ETL Data Pipelines Cloud Services Python SQL Airflow

Full Stack Developer

Comcast

Jul 2016 - Feb 2018 (1 year 7 months)

Developed consumer-facing applications for Xfinity, implementing frontend features in React/Angular and backend integrations to support millions of users while improving performance and reliability.

React Angular REST APIs Backend Services Frontend Development Performance Optimization

Junior Software Developer

Catholic Health Initiatives

Sep 2014 - Jul 2016 (1 year 10 months)

Supported CHI Connect modernization across 100+ locations, improving front-end responsiveness by 25% and reducing maintenance overhead by 30% through UI and tooling enhancements.

AngularJS Frontend Development Cross Functional Collaboration Testing Maintenance

Education

Degrees, certifications, and relevant coursework

Rutgers University

Bachelor of Science, Computer Science

2010 - 2014

Completed a Bachelor of Science in Computer Science with coursework in software engineering, data structures, and algorithms, supporting a transition into AI and backend engineering roles.