“Kindly drop a mail to the consultant for Resume”
Candidate Name: Sesha Kolli
Contact: 916 238 8862
Mail: seshak8500@gmail.com
Experience: 8+ Years
Current Role: Senior AI/ML Engineer | GenAI, Agentic AI & MLOps Engineer
Visa: H1B
Location: Austin, TX
Relocation: Yes (Open to Relocate)
Face to Face : Yes
Professional Summary:
• 8+ years of experience in AI/ML Engineering, Generative AI, MLOps, Cloud Engineering, and Enterprise AI solution development.
• Strong expertise in Generative AI, Agentic AI, Multi-Agent Systems, LangChain, LangGraph, CrewAI, Amazon Bedrock Agents, and LLM-powered enterprise automation.
• Extensive experience building production-grade RAG pipelines using GPT-4/5, Claude, Gemini, Hugging Face, Pinecone, FAISS, Elasticsearch, and vector databases.
• Hands-on expertise in LLM fine-tuning (SFT, QLoRA), prompt engineering, GraphRAG, and deploying domain-specific AI solutions across healthcare, finance, and retail industries.
• Strong programming skills in Python, FastAPI, Flask, REST APIs, PyTorch, TensorFlow, Scikit-learn, and AI microservices development.
• Experienced in AWS, Azure, and GCP cloud platforms, including Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, Vertex AI, Databricks, and AKS/GKE environments.
• Proven expertise in MLOps, CI/CD, Docker, Kubernetes, Terraform, Helm, GitHub Actions, ArgoCD, Azure DevOps, ML lifecycle automation, and Infrastructure as Code.
• Strong background in observability and monitoring using Prometheus, Grafana, Datadog, Splunk, OpenTelemetry, and cloud-native monitoring solutions.
• Extensive experience implementing AI governance, Responsible AI, security, and compliance frameworks aligned with HIPAA, SOC2, GDPR, IAM, and enterprise security standards.
• Hands-on experience integrating enterprise AI solutions with Dialogflow CX, Salesforce CRM, Genesys CCaaS, ServiceNow, and ITSM ecosystems.
• Proven expertise in designing scalable AI platforms, multi-agent orchestration systems, and deploying secure, production-grade GenAI applications in regulated environments.
• Well-suited for Senior AI Engineer, Senior AI/ML Engineer, Agentic AI Engineer, GenAI Engineer, AI Platform Engineer, MLOps Lead, AI Solutions Architect, and GenAI Architect roles.
