H
Harshith Reddy
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Denton, Texas, United States
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Jobs
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Data Scientist / AI EngineerDatavantAug 2023 - Current (2 years 10 months)• Architected enterprise RAG platform serving 200K+ documents with sub-millisecond P99 latency by designing hybrid search architecture on Qdrant with payload indexing, query caching, and graceful degradation patterns. • Designed multi-stage semantic ranking pipeline (BM25, Gemini embeddings, cross-encoder reranking), improving retrieval precision by 30% as measured by human annotation and LLM-as-judge evaluation. • Built production ETL system processing unstructured mortgage documents at scale using LlamaIndex and GPT-4; implemented retry logic, dead-letter queues, and daily monitoring via Cloud Scheduler batch jobs. • Developed GenAI-driven conversational assistants using LLMs (GPT-4, Claude, and Falcon) integrated with SageMaker Endpoints- Data ScientistTata Consultancy Services (TCS)Jun 2021 - Jan 2023 (1 year 8 months)• Designed and implemented end-to-end data science workflows including data ingestion, cleaning, feature engineering, modelling, and deployment using Python. • Conducted exploratory data analysis (EDA) on large, structured datasets using Pandas, NumPy, Matplotlib, and Seaborn to uncover trends and patterns. • Built and optimized machine learning models such as Linear & Logistic Regression, Decision Trees, Random Forest, XGBoost and K-Means clustering using scikit-learn. • Applied statistical analysis and hypothesis testing to validate business assumptions and model outcomes. • Developed time series forecasting models using ARIMA/SARIMA and Prophet for demand and performance prediction. • Implemented model evaluation and validation using met
- GData ScientistGrepthor Software Solutions Pvt LtdDec 2020 - Apr 2021 (5 months)• Translated business use case into predictive analytics frameworks. Validated the model by building POC for predicting asset performance using python for a $16M project. • Developed and deployed interactive Power BI dashboards and KPI scorecards for predictive analytics, resulting in a 30% boost in operational efficiency and compliance score. • Collaborated with DevOps engineers to implement containerized training and batch inference pipelines on ECS with version-controlled deployment. • Partnered with business stakeholders and risk teams to identify AI and analytics-driven use cases, aligning datascience initiatives with organizational KPIs. • Improved data pipeline efficiency by 40% and enhanced reporting accuracy media analytics clients
Education
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- Masters in Computer ScienceUniversity of North TexasJan 2023 - Dec 2024 (2 years)GPA: 3.77/4
- vBachelors in Computer Scienceveltech universityJun 2017 - Apr 2021 (3 years 11 months)GPA: 7.7/10