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I am Ashish Kumar Tatikunta, a seasoned Principal Engineer with over 13 years of experience in designing, developing, and deploying scalable AI/ML and Generative AI systems, with a particular focus on Large Language Models and cloud-native architectures. I love solving complex problems at the intersection of AI, cloud technology, and human-centred design, and I'm passionate about mentoring teams to build innovative AI-driven applications. Throughout my career, I've had the privilege of leading projects across various domains, collaborating cross-functionally with talent, product, and data science teams to align AI strategies with business objectives. My expertise lies in building production-grade AI systems, architecting Retrieval-Augmented Generation (RAG) pipelines, and optimizing AI deployments for cost and performance.…I am Ashish Kumar Tatikunta, a seasoned Principal Engineer with over 13 years of experience in designing, developing, and deploying scalable AI/ML and Generative AI systems, with a particular focus on Large Language Models and cloud-native architectures. I love solving complex problems at the intersection of AI, cloud technology, and human-centred design, and I'm passionate about mentoring teams to build innovative AI-driven applications. Throughout my career, I've had the privilege of leading projects across various domains, collaborating cross-functionally with talent, product, and data science teams to align AI strategies with business objectives. My expertise lies in building production-grade AI systems, architecting Retrieval-Augmented Generation (RAG) pipelines, and optimizing AI deployments for cost and performance.

Ashish Kumar Tatikunta

AI Engineer, Data Scientist, Developer, +2

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I am Ashish Kumar Tatikunta, a seasoned Principal Engineer with over 13 years of experience in designing, developing, and deploying scalable AI/ML and Generative AI systems, with a particular focus on Large Language Models and cloud-native architectures. I love solving complex problems at the intersection of AI, cloud technology, and human-centred design, and I'm passionate about mentoring teams to build innovative AI-driven applications. Throughout my career, I've had the privilege of leading projects across various domains, collaborating cross-functionally with talent, product, and data science teams to align AI strategies with business objectives. My expertise lies in building production-grade AI systems, architecting Retrieval-Augmented Generation (RAG) pipelines, and optimizing AI deployments for cost and performance.…I am Ashish Kumar Tatikunta, a seasoned Principal Engineer with over 13 years of experience in designing, developing, and deploying scalable AI/ML and Generative AI systems, with a particular focus on Large Language Models and cloud-native architectures. I love solving complex problems at the intersection of AI, cloud technology, and human-centred design, and I'm passionate about mentoring teams to build innovative AI-driven applications. Throughout my career, I've had the privilege of leading projects across various domains, collaborating cross-functionally with talent, product, and data science teams to align AI strategies with business objectives. My expertise lies in building production-grade AI systems, architecting Retrieval-Augmented Generation (RAG) pipelines, and optimizing AI deployments for cost and performance.

Available to hire

I am Ashish Kumar Tatikunta, a seasoned Principal Engineer with over 13 years of experience in designing, developing, and deploying scalable AI/ML and Generative AI systems, with a particular focus on Large Language Models and cloud-native architectures. I love solving complex problems at the intersection of AI, cloud technology, and human-centred design, and I’m passionate about mentoring teams to build innovative AI-driven applications.

Throughout my career, I’ve had the privilege of leading projects across various domains, collaborating cross-functionally with talent, product, and data science teams to align AI strategies with business objectives. My expertise lies in building production-grade AI systems, architecting Retrieval-Augmented Generation (RAG) pipelines, and optimizing AI deployments for cost and performance.

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Work Experience

Sr Principal Machine Learning Engineer - AI/ML at Avani Tech Solutions

March 1, 2025 - Present

Architected an end-to-end LLM-based system to analyze professional signals and infer job-switching likelihood, increasing recruitment outreach response rates by 52%. Built a retrieval-augmented generation pipeline using LangChain and vector stores, developed multi-step conversational agents with LangGraph, and deployed the system with full observability and custom toolchains. Collaborated with talent and data science teams to align workflows with legal requirements and mentored engineers in advanced AI methodologies.

Principal AI/ML Engineer - GEN AI at Open Text Technologies

February 28, 2025 - August 1, 2025

Led design and deployment of Generative AI solutions using GPT, PaLM, and Gemini models for content generation and knowledge summarization. Developed custom prompts and fine-tuning strategies along with RAG architectures. Architected multi-modal AI pipelines and scalable deep learning models using PyTorch and TensorFlow. Migrated legacy models, built scalable APIs, and integrated observability tools. Mentored teams, collaborated cross-functionally, and drove multiple successful AI pilots and rollouts impacting over 10,000 users.

Lead Machine Learning Engineer at Apple India (Cognizant Technology Solutions)

October 31, 2023 - August 1, 2025

Led end-to-end machine learning lifecycle for NLP, computer vision, and forecasting projects. Developed robust data pipelines and deployed models using various algorithms and deep learning approaches. Standardized workflows, integrated model optimization techniques, and re-architected legacy systems into microservices, significantly improving deployment speed and system performance. Mentored teams on microservices and frontend architectures, and implemented security and monitoring tools for production-grade solutions.

Machine Learning Engineer at Google

May 31, 2018 - August 1, 2025

Participated in development and deployment of machine learning models targeting customer churn, marketing optimization, and anomaly detection. Developed backend services for Google Maps ensuring scalability and performance, integrated machine learning into location-based services, improved APIs, and adhered to security practices. Collaborated closely on analysis, optimization, and feature development with cross-functional teams in agile environments.

Sr Principal Machine Learning Engineer - AI/ML at Avani Tech Solutions

March 1, 2025 - Present

Architected an end-to-end LLM-based system to analyze professional signals and infer job-switching likelihood. Developed hyper-personalized candidate outreach using GPT-4 and Claude, increasing response rates by ~52%. Built RAG pipelines with LangChain and Pinecone to ground messaging in real-time data. Implemented multi-step conversational agents with LangGraph for autonomous follow-ups and interview scheduling. Deployed systems using LangServe, integrating custom workflows and fallback logic. Mentored engineers in advanced LLM orchestration, aligning workflows with legal compliance.

Principal AI/ML Engineer - GEN AI at Open Text Technologies

February 28, 2025 - August 1, 2025

Led design and deployment of Generative AI solutions using GPT, PaLM, and Gemini for content generation and knowledge summarization. Developed custom prompts, fine-tuning, and RAG architectures to enhance generative accuracy. Built multimodal AI pipelines integrating text, image, and structured data. Migrated legacy models to modern frameworks improving training efficiency. Created agentic systems with LangChain and LangGraph for dynamic task automation. Integrated scalable GenAI APIs and observability tools. Evaluated LLM vendors and authored whitepapers on safe GenAI rollout. Mentored teams in LLM governance and cloud MLOps. Spearheaded scalable recommendation systems, boosting engagement.

Lead Machine Learning Engineer at Apple India (Cognizant Technology Solutions)

October 31, 2023 - August 1, 2025

Led end-to-end ML solution development including data preprocessing, model training, and deployment in NLP, computer vision, and forecasting. Designed robust data pipelines and integrated quantization/pruning for on-device models reducing size by 70%. Re-architected legacy applications to microservices, enhancing fault tolerance and deployment speed. Built event-driven asynchronous systems and micro-frontend architectures for scalable, maintainable product ecosystems. Mentored teams on CI/CD, coding standards, and cloud-native platform transitions, achieving cost reductions and performance gains.

Machine Learning Engineer at Google

May 31, 2018 - August 1, 2025

Developed, evaluated, and deployed ML models for applications including churn prediction and anomaly detection. Worked on data preprocessing, cleaning, and ML algorithm implementation using libraries like sci-kit-learn. Developed Java backend services for Google Maps ensuring scalability, performance, and integration with geospatial data. Leveraged Google Cloud tools for scalable data processing and ML model deployment. Implemented caching, security best practices, and collaborated with cross-functional teams to optimize user experience and maintain compliance with data regulations. Supported production systems with continuous monitoring and debugging.