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Data science and ML professional building NLP/ML pipelines, RAG and agentic systems, and data infrastructure for human-centered AI and policy research. Experienced in Python microservices, API development, and scalable async ingestion for production-grade reliability. Demonstrated impact through healthcare NLP (clinical negation extraction + HPO mapping) and GenAI assistants with vector search and hallucination guardrails. Strong foundation across ML, distributed systems, ETL, model evaluation, and stakeholder-facing analytics.…Data science and ML professional building NLP/ML pipelines, RAG and agentic systems, and data infrastructure for human-centered AI and policy research. Experienced in Python microservices, API development, and scalable async ingestion for production-grade reliability. Demonstrated impact through healthcare NLP (clinical negation extraction + HPO mapping) and GenAI assistants with vector search and hallucination guardrails. Strong foundation across ML, distributed systems, ETL, model evaluation, and stakeholder-facing analytics.

Manasa Kumari

Data Scientist, AI Engineer, Data Scraping Specialist, +2

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Data science and ML professional building NLP/ML pipelines, RAG and agentic systems, and data infrastructure for human-centered AI and policy research. Experienced in Python microservices, API development, and scalable async ingestion for production-grade reliability. Demonstrated impact through healthcare NLP (clinical negation extraction + HPO mapping) and GenAI assistants with vector search and hallucination guardrails. Strong foundation across ML, distributed systems, ETL, model evaluation, and stakeholder-facing analytics.…Data science and ML professional building NLP/ML pipelines, RAG and agentic systems, and data infrastructure for human-centered AI and policy research. Experienced in Python microservices, API development, and scalable async ingestion for production-grade reliability. Demonstrated impact through healthcare NLP (clinical negation extraction + HPO mapping) and GenAI assistants with vector search and hallucination guardrails. Strong foundation across ML, distributed systems, ETL, model evaluation, and stakeholder-facing analytics.

Available to hire

Data science and ML professional building NLP/ML pipelines, RAG and agentic systems, and data infrastructure for human-centered AI and policy research. Experienced in Python microservices, API development, and scalable async ingestion for production-grade reliability.

Demonstrated impact through healthcare NLP (clinical negation extraction + HPO mapping) and GenAI assistants with vector search and hallucination guardrails. Strong foundation across ML, distributed systems, ETL, model evaluation, and stakeholder-facing analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Research Assistant - AI Policy & Human-Centered AI Research at Stony Brook University

March 1, 2026 - Present

Built Python pipelines for web scraping and structured/unstructured data collection, including cleaning, validation, and database maintenance for human-centered AI, public perceptions of AI, and AI policy research. Conducted exploratory analysis, hypothesis testing, and NLP/ML analysis; visualized trends and communicated methods, progress, and findings through project reviews and research outputs.

ML Engineer Intern at Hawl Technologies LLC

May 1, 2025 - December 1, 2025

Developed Python and FastAPI microservices with REST APIs, PostgreSQL, JWT authentication, RBAC, request validation, structured error handling, and multi-tenant workflows. Implemented RAG and agentic workflows using embeddings, FAISS, hybrid search, re-ranking, MCP, and tool/API integrations. Built asynchronous ingestion and orchestration with Redis queues and asyncio; containerized with Docker and improved delivery via Git, CI/CD, and unit/integration testing, logging, and reproducible deployments.

Software Development Intern at Blue Cloud Softech Solutions

February 1, 2024 - April 1, 2024

Built Python and SQL Server data pipelines processing 1,500+ records per batch with validation, transformation, and automated classification, reducing manual effort by 40%. Developed multilingual React interfaces integrated with ASP.NET APIs, improving user engagement by 30%. Created Pandas and Matplotlib dashboards for user-behavior analysis, data-quality reporting, and stakeholder communication.

Machine Learning Intern at Techsture Technologies India Pvt. Ltd.

August 1, 2023 - October 1, 2023

Engineered a real-time Python and OpenCV video analytics pipeline, reducing inference latency by 40% and improving throughput by 30% via profiling and NumPy vectorization. Analyzed runtime bottlenecks and recognition failures to improve preprocessing and batch execution across compute-intensive ML workflows.