Krishna Kankipati
I design and deploy intelligent automation systems that turn complex processes into fast, self-running workflows.
About
I design and deploy intelligent automation systems that turn complex processes into fast, self-running workflows. Whether you need automatic image tagging at scale, multi-agent architectures that coordinate like a digital workforce, or full end-to-end AI systems woven into your existing stack, I build solutions that deliver measurable impact.
My work spans vision models, LLM-powered agents, advanced RAG pipelines, and high-reliability MLOps—bringing together deep learning, cloud engineering, and workflow orchestration to automate the tedious, accelerate the strategic, and unlock new capabilities across your business.
From architecting multi-agent copilots for legal review to building production-grade OCR, search, and analytics pipelines, I specialize in shaping AI systems that are robust, explainable, secure, and tuned for real-world performance. I also provide expert consultation on AI strategy, infrastructure, and system design.
If you need a partner who can move from concept to production with clarity, speed, and technical depth—I’m here to help you build what’s next.
- 5 years' experience
- Joined November 2025
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Financial Services
- Government
- Healthcare
- Professional Services
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Work experience· 4 roles
Built multi-agent AI workflows for legal contract review, clause suggestion, and precedent alignment, enabling cross-agent collaboration via a MCP knowledge base. Implemented Human-in-the-Loop governance to incorporate feedback into fine-tuning pipelines. Architected document ingestion, transformation, and indexing across jurisdictional corpora with 99.9% uptime by containerizing services on Azure with zero-downtime upgrades. Developed contract review & clause-generation agents, redlining copilots, and dashboards using LangGraph; enhanced RAG performance via evaluation and integrated observability platforms (Axiom, LangSmith, LangFuse). Deployed OCR extraction with vLLM for hundreds of documents and Markdown conversion. Built NLP pipelines for entity extraction, clause suggestion, and semantic search using HuggingFace Transformers, increasing document review efficiency. Implemented HIPAA-compliant dialogue flows and collaborated with security/compliance teams to ensure data access and
Architected predictive analytics pipelines in Snowflake (Snowpark & Ray) and automated forecasts for investment decisions. Applied prompt engineering and evaluation frameworks to deliver precise investment research outputs. Built a BERT-based recommendation engine within Snowflake for personalized company analysis, supporting high-ROI investment targeting while enforcing strict authentication and data protection standards. Deployed modular LLM applications on GCP using FastAPI, Cloud Run, Pub/Sub, and Cloud Functions with MLOps best practices—segregating training, inference, and feature pipelines to optimize latency and scalability. Developed secure, real-time Q&A bots that translated natural language to SQL via LangChain, enabling investors and partners to extract insights from Snowflake warehouses via Streamlit-based interfaces.
Developed a multilingual chatbot for the restaurant business using Dialogflow, resulting in increased orders, reduced customer service requests, and higher customer satisfaction. Integrated Vertex AI OCR, Translation, and TTS; deployed a TypeScript/Node.js web chatbot with Firebase authentication. Streamlined project management by coordinating weekly planning meetings, preparing progress updates, and delivering work plans, reducing project completion time by ~30% and boosting team productivity.
Education
Certifications and awards
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