LLM Training & Serving
LLM Fine-tuningLoRA / QLoRAEvaluationOpenAI-Compatible Serving
Modelling & Analytical Methods
Classical MLDeep LearningComputer VisionNLPForecastingFeature EngineeringOperations ResearchAutoencoders
Frameworks & APIs
scikit-learnXGBoostPyTorchTensorFlowHugging Face / PEFTUnslothvLLMOR-Tools
GPU & Distributed Computing
Multi-GPU TrainingRAPIDS cuDF / CuPy
Model Lifecycle
MLflowEvaluation / RegistryRetrainingVertex AI / Azure ML PipelinesFeature Store
Cloud & Deployment
GCP / AzureGKE / KubernetesDockerCloud Run / FunctionsAzure Functions / Logic AppsHelm / Istio
Reliability & Reporting
CI/CDCloud BuildArgoCD / GitOpsPrometheus / GrafanaMonitoring / Load TestingStreamlit / Power BI
Languages, Data & Storage
PythonSQLBeam / DataflowPub/SubBigQueryRedisGCS / Azure BlobPandas / NumPyDaskGit / Linux
Certifications
Google Cloud CertifiedGenerative AI Leader
Oracle Cloud Infrastructure 2024Generative AI Certified Professional
Microsoft CertifiedAzure AI Engineer Associate
Microsoft CertifiedAzure Data Scientist Associate
Microsoft CertifiedPower BI Data Analyst Associate
Education
B.E. Electrical & Electronics
Andhra University, Visakhapatnam
2012 – 2016 · 80%
Honors & Awards
Best Buy — Talent Quotient 2026Fraud-score coverage +20% · ~$300K estimated annual API-cost savings
Best Buy client - AML Hall of Fame 2024 (Wipro engagement)Above & Beyond recognition
Wipro — 6 further awardsAbove & Beyond · Pinnacle · Being Responsive ×3 (2024–25)
AccentureDelivery Excellence · Kudos ×2
InfosysInsta Award ×2
Domain & Client Breadth
Retail & e-commerce · Cybersecurity · Supply chain & logistics · Semiconductor manufacturing · Market intelligence (15+ verticals) · Insurance.
Clients across the US, Norway, South Korea, and the UK.
Leadership & Delivery
ML system architecture · Team leadership & mentoring · Technical hiring · Cross-functional delivery · Stakeholder management.
Lead AI and ML engineer and data scientist with 10+ years of experience, building production AI/ML/LLM systems. Leads end-to-end AI delivery, combining hands-on model development with technical leadership to turn business problems into scalable, high-throughput, low-latency production systems. Experience spans predictive modelling, forecasting, operations research, computer vision, and generative AI across retail, cybersecurity, manufacturing, insurance, and supply-chain optimization.
Work Experience
Lead Artificial Intelligence Engineer
Best Buy | Jul 2025 – Present
- Productionized a reusable LLM fine-tuning framework using Unsloth, PEFT / Hugging Face Transformers, Accelerate and LoRA / QLoRA for distributed training, task-specific adapters and automated evaluation.
- Deployed Docker-based vLLM inference on GKE to support multiple AI tasks through OpenAI-compatible endpoints, with HPA autoscaling, Istio routing and Prometheus/Grafana monitoring, with estimated annual API-cost savings of ~$300K. Kept inputs company-managed, reducing dependence on external API availability and behavior during peak demand.
- Built batch, streaming and real-time fraud systems with a feature pipeline handling 40,000 events/sec at peak, using Apache Beam (Python / Java SDKs), GCP Dataflow, Pub/Sub and Vertex AI Feature Store.
- Improved holiday fraud-score coverage by ~20%; deployed XGBoost through a FastAPI-based endpoint deployed on Kubernetes with JWT-secured endpoints. The model’s input into fraud-prevention decisions saves US$1.5M/year.
- Led retail ML/LLM architecture and delivery with data scientists, automating GitOps through Cloud Build, ArgoCD and Google KCC and managing artifacts in Artifact Registry.
Lead ML Engineer — ML Engineering & Operations
Wipro | Aug 2023 – Jul 2025
- Engineered AWS account digital fingerprinting on NVIDIA DGX with RAPIDS cuDF / CuPy. Trained per-entity behavioral autoencoders on billion-row security datasets, with continuous retraining, MLflow model management and Grafana anomaly alerts.
- Scaled Proofpoint phishing detection to 2,400 emails/sec (2x throughput) through GPU-accelerated preprocessing, feature engineering and inference. Integrated analyst feedback and Microsoft Sentinel to detect missed phishing and support quarantine.
- Automated abuse-inbox triage, doubling case volume and reducing manual review. Used ML routing and OCR (pytesseract, cuDF) across email bodies and attachments; routed scammer identifiers to security teams and partners for takedowns.
- Mentored ML/MLOps engineers, coordinated client/NVIDIA delivery, screened 300+ resumes and conducted 50+ technical interviews. Earned Best Buy client AML Hall of Fame recognition (2024).
Senior Data Scientist — Data Science / Azure ML
Accenture | May 2021 – Sep 2023
- Developed product-quality prediction for BamaGruppen with fully automated training and serving using Logic Apps and Azure ML platform services, including Azure ML pipelines, model registry and container deployments.
- Increased truck inspections from 130 to 160/day, defect detection by 17% and customer approval by 20%, delivering $2.5M annual savings.
- Replaced manual Excel planning with automated last-mile routing and transport optimization using OR-Tools and mixed-integer models, integrating Azure Functions, Logic Apps and RPA to enable rapid replanning and improve delivery efficiency.
- Modelled supply-chain and distribution-hub scenarios across cost, freshness, carbon and warehouse volumes using OR-Tools on Azure ML with Power BI reporting.
- Led cross-functional delivery, mentored data scientists and presented network-design recommendations to Norwegian stakeholders.
Data Scientist
GD Research Centre Pvt Ltd | May 2020 – May 2021
- Developed forecasts and scenario analysis for GlobalData across 15+ industry verticals with forecasting and feature-engineering pipelines, informing market intelligence and resource allocation.
Deep Learning Engineer
Tata Consultancy Services | Jul 2019 – Mar 2020
- Developed semiconductor defect detection with TensorFlow / Keras DenseNet on a GCP multi-GPU cluster. Distributed training on ~1 million images in ~3 hours achieved 90% classification accuracy.
- Ingested SQL Server data and served inference with Docker / TensorFlow Serving. Deployed the end-to-end system at Amkor, South Korea, and trained the client team.
Senior Software Engineer — ML
Infosys | May 2016 – Jul 2019
- Implemented opportunity win/lose prediction with logistic-regression scoring and data pipelines for sales prioritization; integrated SQL Server Integration Services, SSAS and Power BI dashboards.
- Delivered tested insurance ID-card workflows using COBOL, JCL, DB2, VSAM and CICS; handled impact analysis, design and support, and shared knowledge with the team.