Sid Sriram

SENIOR MACHINE LEARNING ENGINEER

Anaconda

Dec 2024 - Current (1 year 5 months)

• Developed and deployed the backend systems for an AI-powered code editor (Anaconda Assistant) that helps engineers and data scientists generate code in notebooks and in their CLI, achieving over 50,000 monthly active users (Python, SQL, Terraform, FastAPI, PostgreSQL, PGVector, OpenAI, Bedrock, BGE). • Developed multiple API endpoints for a RAG (Retrieval-Augmented-Generation) agent, including endpoints to create agents, upload documents, generate responses and run evaluations, enabling seamless document querying, efficient data handling, and performance assessment (Python, FastAPI, Pydantic, ChromaDB, OpenAI, AWS S3, AWS Lambda). • Designed and implemented a custom LLM evaluation framework package, enabling comprehensive analysis of m

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AI CONSULTANT

NEXGEN AI SOLUTIONS

Aug 2022 - Current (3 years 9 months)

• Founded NexGen AI Solutions, a consulting business specializing in AI-driven product development and market launch strategies for software companies. • Developed an AI-powered conversational interface for financial analysts to query and visualize financial datasets in real-time, reducing analysis time by over 30% and acquring 95% adoption rate across teams. (Python, NLP, AWS Bedrock, AWS Sagemaker, AWS S3, AWS CodeCommit, AWS CodePipeline, DSPy). • Developed and deployed a custom Large Language Model (LLM) for a large pharmaceutical company, automating the generation of Clinical Study Reports (CSRs) and Patient Safety Narratives, reducing manual documentation time by 60% and reducing $20M in costs (Python, SQL, ChatGPT API, AWS SQS, AW

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SENIOR MACHINE LEARNING ENGINEER

FIT:MATCH

Jan 2022 - Dec 2024 (3 years)

• Led the deployment of Deep Learning Machine Learning models capable of taking human body scans and predicting a user's clothing size based on 3D imaging technology, increasing company revenue to over $1M ARR (Python, Tensorflow, AWS Sagemaker, AWS S3, AWS DynamoDB, AWS Lambda, Numpy, Pandas, SKLearn, Docker). • Developed a custom Language Learning Model (LLM) chatbot integrated with the ChatGPT API and trained it on customer data, including preferences, shopping history, and feedback, to provide personalized clothing product recommendations through a chatbot interface (Python, NLP, ChatGPT API, Llama-Index, Langchain). • Developed an analytics dashboard for internal and external stakeholders to view key business metrics and monitor ML

DATA SCIENTIST

Labcorp

Jun 2021 - Dec 2021 (7 months)

• Built machine learning models to predict the efficacy of prospective drug compounds from pathology image data, accelerating critical cancer treatments to market significantly faster, from 5 years or more to less than 6 months (Python, R, Azure, PathAI). • Developed NLP models to automate dataset generation and quality control process from clinical trial PDFs, decreasing product delivery timeline from 10 days average to less than 1 day (Python, R, Azure). • Communicated with pharmaceutical company clients to make business decisions from data-driven results.

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