Satish Kakkirala
Satish Kakkirala

Forward Deployed Engineer | Applied AI Engineering & Site Reliability Leadership

Open to offers · Member since 21 Oct 2026
Location
Exton, United States
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Senior

About

Professional summary

I am a Senior Site Reliability Engineer and Technical Lead with more than 16 years of experience embedded in a global financial-services production environment. I work directly with engineering, product, and business stakeholders to discover operational problems, prototype practical solutions, and deploy dependable systems into production.

I have led observability, incident-management, performance-engineering, and reliability programs supporting more than 15 services with 99.9%+ availability. My work has reduced mean time to detect by approximately 35%, reduced production performance incidents by approximately 45%, and improved recovery outcomes through automated remediation, SLOs, error budgets, and blameless root-cause analysis.

I bring deep AWS, DevOps, cloud infrastructure, containerization, CI/CD, performance testing, and chaos-engineering experience. I have designed fault-tolerant multi-region infrastructure, automated deployment pipelines, implemented Infrastructure as Code, and led capacity planning for significant traffic growth.

I am also an engineering leader who has grown and mentored a cross-functional team of more than 12 SRE and performance engineers. I lead incident response, Agile delivery, on-call standards, and cross-functional reliability initiatives while aligning technical outcomes with business availability goals.

In 2026, I expanded my focus into applied AI engineering. I build end-to-end LLM systems including RAG services, LoRA fine-tuning workflows, evaluation datasets, AI agent workflows, and production observability for AI applications.

I am focused on forward-deployed engineering opportunities where I can combine customer problem discovery, rapid prototyping, client delivery, and production-grade AI or reliability engineering.

Skills

42 capabilities

Tech stack & tools

Working toolkit

Analytics

Application Hosting

Collaboration

Languages & Frameworks

Experience

Career history

Senior SRE & Technical Lead Tata Consultancy Services

Embedded with Vanguard in the USA as a senior SRE and technical lead, leading observability, incident management, reliability engineering, and production support for mission-critical financial platforms. Architected a unified observability platform using Dynatrace, AppDynamics, ELK Stack, Splunk, and AWS CloudWatch, reducing MTTD by approximately 35%. Led P1/P2 incident command, established SLOs and error budgets across 15+ services, and sustained 99.9%+ availability.

Built automated remediation and self-healing workflows from more than 20 runbooks, reducing manual toil by approximately 40%. Improved performance reliability through CI/CD performance gates, JMeter and BlazeMeter frameworks, JVM profiling, and capacity planning, reducing production performance incidents by approximately 45%. Designed multi-region AWS infrastructure, Docker and Kubernetes deployment patterns, Jenkins and GitHub CI/CD pipelines, and CloudFormation IaC. Grew and mentored a team of 12+ engineers, promoted four engineers into senior or lead roles, and led chaos-engineering GameDays using AWS FIS and Gremlin.

Applied AI Engineer Personal GitHub Projects

Built Ragscope, a local document Q&A RAG service using FastAPI, Ollama llama3.2, and Qdrant. Implemented grounded answers, source citations, out-of-scope refusals, evaluation datasets, Prometheus metrics, Grafana dashboards, and alerting to provide production observability for an LLM service.

Developed LoRA fine-tuning and structured-data Q&A experiments using Unsloth and Qwen2.5-0.5B-Instruct. Exported models to GGUF for local Ollama serving and evaluated hallucination limitations. Rebuilt structured-data Q&A as a RAG system over 35,896 records, using retrieved rows as verifiable evidence in a web chat interface.

Education

Learning history

Jawaharlal Nehru Technological University (JNTU)

B.Tech, Computer Science

Bachelor of Technology in Computer Science.

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