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I am an AI Engineer with 3+ years of experience building Generative AI systems, agentic AI workflows, and scalable ML platforms. I specialize in RAG pipelines, knowledge graph-enhanced LLMs, tool-calling automation, and end-to-end production deployments using Docker, Kubernetes, and cloud services. I enjoy turning complex data problems into practical, governance-ready solutions that drive measurable impact. My work spans finance and e-commerce, from data analysis to AI engineering. I thrive collaborating with cross-functional teams to design robust models, optimize latency with quantization and LoRA, and ship reliable AI products that improve decision making and reporting.…I am an AI Engineer with 3+ years of experience building Generative AI systems, agentic AI workflows, and scalable ML platforms. I specialize in RAG pipelines, knowledge graph-enhanced LLMs, tool-calling automation, and end-to-end production deployments using Docker, Kubernetes, and cloud services. I enjoy turning complex data problems into practical, governance-ready solutions that drive measurable impact. My work spans finance and e-commerce, from data analysis to AI engineering. I thrive collaborating with cross-functional teams to design robust models, optimize latency with quantization and LoRA, and ship reliable AI products that improve decision making and reporting.

Sandeep Kanumilli

AI Engineer, Data Scientist, Data Analyst, +2

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I am an AI Engineer with 3+ years of experience building Generative AI systems, agentic AI workflows, and scalable ML platforms. I specialize in RAG pipelines, knowledge graph-enhanced LLMs, tool-calling automation, and end-to-end production deployments using Docker, Kubernetes, and cloud services. I enjoy turning complex data problems into practical, governance-ready solutions that drive measurable impact. My work spans finance and e-commerce, from data analysis to AI engineering. I thrive collaborating with cross-functional teams to design robust models, optimize latency with quantization and LoRA, and ship reliable AI products that improve decision making and reporting.…I am an AI Engineer with 3+ years of experience building Generative AI systems, agentic AI workflows, and scalable ML platforms. I specialize in RAG pipelines, knowledge graph-enhanced LLMs, tool-calling automation, and end-to-end production deployments using Docker, Kubernetes, and cloud services. I enjoy turning complex data problems into practical, governance-ready solutions that drive measurable impact. My work spans finance and e-commerce, from data analysis to AI engineering. I thrive collaborating with cross-functional teams to design robust models, optimize latency with quantization and LoRA, and ship reliable AI products that improve decision making and reporting.

Available to hire

I am an AI Engineer with 3+ years of experience building Generative AI systems, agentic AI workflows, and scalable ML platforms. I specialize in RAG pipelines, knowledge graph-enhanced LLMs, tool-calling automation, and end-to-end production deployments using Docker, Kubernetes, and cloud services. I enjoy turning complex data problems into practical, governance-ready solutions that drive measurable impact.

My work spans finance and e-commerce, from data analysis to AI engineering. I thrive collaborating with cross-functional teams to design robust models, optimize latency with quantization and LoRA, and ship reliable AI products that improve decision making and reporting.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI Engineer at Stiaos Technologies Inc

December 1, 2024 - Present

Engineered agentic AI orchestration workflows integrating LLMs, retrieval systems, and APIs using LangGraph to automate multi-step financial analysis. Developed knowledge-graph–enhanced RAG pipelines with embeddings and graph databases, improving contextual accuracy and reducing hallucinations. Optimized code-generation and routing workflows with fine-tuned models (Qwen, GPT-4o, BERT), applying quantization and LoRA to reduce inference latency. Automated tool-calling for Excel, PowerPoint, and chart generation, cutting manual reporting. Leveraged MLflow for experiment tracking and model lifecycle management to ensure reproducibility and governance.

Data Scientist at Dataflix

December 1, 2024 - October 15, 2025

Developed GenIQ, a multimodal summarization bot for text, audio, video, and handwritten notes across 100+ languages. Built the platform on GCP (Vertex AI, BigQuery, Cloud Storage, Pub/Sub) with automated CI/CD pipelines. Fine-tuned BERT & Gemini using LoRA + Prompt Tuning, improving summary efficiency and reducing training/inference. Integrated Tesseract OCR with custom pre-processing, boosting handwriting recognition for non-digital notes. Implemented real-time ingestion & feedback loops via Cloud Pub/Sub for continuous monitoring.

Data Analyst at Big Basket

August 1, 2022 - October 15, 2025

Developed demand forecasting models (Random Forest, XGBoost, Linear Regression) that reduced perishable inventory waste by 15% across fulfillment centers. Built time-series models (rolling means, exponential smoothing, LSTMs) to improve SKU-level forecasting accuracy. Designed AWS-based ETL pipelines (S3, Glue, EC2, Lambda) for large-scale transactional and clickstream data. Built TensorFlow models for product classification using text metadata + images, improving catalog search accuracy. Developed a collaborative filtering recommendation engine powering the 'Smart Basket' feature used by millions.