Open to opportunities

Sai Kiran

@saikiran7

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Results-driven software engineer specializing in machine learning solutions.

United States

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What I'm looking for

I am looking for opportunities that foster innovation and collaboration, where I can leverage my machine learning expertise to drive impactful projects.

I am a results-driven Software Engineer with over 4 years of experience delivering intelligent, scalable machine learning solutions across enterprise environments. My proven track record includes designing and deploying LLM-powered virtual assistants and high-performance semantic search pipelines, utilizing cutting-edge technologies like HuggingFace and LangChain.

At Automotive Robotics Inc, I successfully designed an LLM-powered virtual assistant that cut response time by 68% and achieved 92% interaction accuracy. My work on a hybrid RAG system significantly enhanced contextual responses and user satisfaction. I thrive on building developer-friendly frameworks that enable cross-team AI adoption and operationalizing ML systems using cloud-native tools on GCP and AWS.

With a strong foundation in software development and data engineering, I have collaborated on feature engineering and optimized data pipelines, improving model training efficiency by 45%. I am passionate about leveraging my skills to create impactful solutions that drive innovation and efficiency in the tech industry.

Experience

Work history, roles, and key accomplishments

Software Engineer - AI/ML

Pre-ent Automotive Robotics Inc

Oct 2023 - Oct 2023 (0 months)

Designed and deployed an LLM-powered virtual assistant for internal applications, cutting response time by 68% and achieving 92% interaction accuracy. Implemented a hybrid RAG system with LangChain and FAISS, enhancing contextual responses by 47% and increasing user satisfaction by 35%.

LLM Lang Chain Faiss Semantic Search GCP Docker Kubernetes Apache Airflow Python TensorFlow scikit learn

Software Engineer

Thinklusive Inc

Jan 2023 - Aug 2023 (7 months)

Contributed to the development of scalable, real-time ML systems using Python, TensorFlow, and PyTorch for low-latency inference in production. Built and deployed supervised learning models and recommendation systems, improving decision accuracy and personalization.

Python TensorFlow PyTorch SQL Docker Kubernetes GCP Machine Learning Recommendation Systems Data Pipelines

Python Developer

Tech Mahindra

Jan 2020 - Jul 2021 (1 year 6 months)

Developed and deployed backend applications using Python, Flask, and FastAPI to support internal tools and microservice-based architectures. Integrated AWS services including S3, Lambda, and DynamoDB for secure file handling, serverless compute, and data persistence.

Python Flask fastAPI AWS S3 Lambda DynamoDB PostgreSQL RESTful APIs Docker GitHub Actions AWS CodePipeline

Education

Degrees, certifications, and relevant coursework

Sastra University

Bachelor of Technology, Computer Science

Obtained a Bachelor of Technology in Computer Science. Gained foundational knowledge in computer science principles and software development.

Missouri State University

Master of Science, Computer Science

Activities and societies: Implemented a wide range of search algorithms on feature descriptors like Color Moments and ResNET-1000. Extended this into Latent Semantic Analysis on the Caltech 101 image dataset using Python and Torch Vision. Designed a Page Rank algorithm based on relevance feedback provided by the user to optimize search results.

Completed a Master of Science in Computer Science. Focused on advanced topics in the field, including machine learning and database search techniques.