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Hello! I'm Sai Likhit, a Generative AI / ML Engineer with 4+ years of experience designing, deploying, and scaling enterprise AI systems across banking, healthcare, and technology. I specialize in building practical, measurable AI solutions—transforming complex capabilities into business impact. I enjoy translating AI innovations into tangible outcomes for executives and cross-functional teams. I thrive in collaborative environments, leveraging tools like LangChain and containerized MLOps on GCP, AWS, and Azure to deliver reliable, scalable systems while upholding responsible AI principles and regulatory compliance.…Hello! I'm Sai Likhit, a Generative AI / ML Engineer with 4+ years of experience designing, deploying, and scaling enterprise AI systems across banking, healthcare, and technology. I specialize in building practical, measurable AI solutions—transforming complex capabilities into business impact. I enjoy translating AI innovations into tangible outcomes for executives and cross-functional teams. I thrive in collaborative environments, leveraging tools like LangChain and containerized MLOps on GCP, AWS, and Azure to deliver reliable, scalable systems while upholding responsible AI principles and regulatory compliance.

Sai Likhit

Data Scientist, AI Engineer, AI Developer, +2

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Hello! I'm Sai Likhit, a Generative AI / ML Engineer with 4+ years of experience designing, deploying, and scaling enterprise AI systems across banking, healthcare, and technology. I specialize in building practical, measurable AI solutions—transforming complex capabilities into business impact. I enjoy translating AI innovations into tangible outcomes for executives and cross-functional teams. I thrive in collaborative environments, leveraging tools like LangChain and containerized MLOps on GCP, AWS, and Azure to deliver reliable, scalable systems while upholding responsible AI principles and regulatory compliance.…Hello! I'm Sai Likhit, a Generative AI / ML Engineer with 4+ years of experience designing, deploying, and scaling enterprise AI systems across banking, healthcare, and technology. I specialize in building practical, measurable AI solutions—transforming complex capabilities into business impact. I enjoy translating AI innovations into tangible outcomes for executives and cross-functional teams. I thrive in collaborative environments, leveraging tools like LangChain and containerized MLOps on GCP, AWS, and Azure to deliver reliable, scalable systems while upholding responsible AI principles and regulatory compliance.

Available to hire

Hello! I’m Sai Likhit, a Generative AI / ML Engineer with 4+ years of experience designing, deploying, and scaling enterprise AI systems across banking, healthcare, and technology. I specialize in building practical, measurable AI solutions—transforming complex capabilities into business impact. I enjoy translating AI innovations into tangible outcomes for executives and cross-functional teams.

I thrive in collaborative environments, leveraging tools like LangChain and containerized MLOps on GCP, AWS, and Azure to deliver reliable, scalable systems while upholding responsible AI principles and regulatory compliance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Generative AI Engineer at Ashers & Aarons

September 1, 2024 - Present

Architected enterprise-scale LLM solutions on GCP Vertex AI (Gemini, GPT-4o) for banking automation—financial document intelligence, risk scoring, and fraud detection—improving processing efficiency by ~35%. Built end-to-end RAG pipelines (LangChain + Pinecone + unstructured financial data) enabling real-time enterprise search with 35% improvement in analyst query resolution time. Designed NeoBot, a RASA-based conversational AI for digital banking; reduced average handling time by ~40% and manual workload by ~30%. Developed agentic AI workflows (LangGraph, AutoGen) for automated loan underwriting summaries, compliance report generation, and anomaly flagging. Created NL-to-SQL interfaces enabling business users to query transaction and compliance datasets conversationally — reducing SQL dependency for 60% of analyst queries. Fine-tuned LLaMA 3 and Mistral using LoRA/QLoRA on proprietary banking corpora; achieved 15% accuracy gain over base models on domain-specific NLU benchmarks.

Data Scientist / AI-ML Engineer at Technoparin Software Pvt Ltd

October 1, 2021 - July 31, 2023

Designed and deployed end-to-end ML pipelines for customer behavior prediction, churn analysis, and revenue forecasting (XGBoost, LightGBM, and neural networks); achieved 15–20% performance gains. Built NLP solutions for text classification, sentiment analysis, and information extraction using Hugging Face Transformers and spaCy; achieved 85%+ accuracy across tasks. Engineered scalable ML pipelines on AWS (SageMaker, S3, Lambda, Redshift) for data ingestion, feature extraction, model training, and real-time inference via REST APIs. Implemented drift detection and automated retraining using MLflow and CloudWatch; built KPI dashboards in Tableau and Power BI for non-technical stakeholders. Ensured HIPAA-compliant data handling for healthcare-related ML projects.