Available to hire
Hi, I’m Akarsh Reddy Tatimakula. I’m a data scientist and AI engineer with a strong academic background and hands-on industry experience building scalable AI agents, LLM-based solutions, and data-driven dashboards. I earned a Master of Science in Data Science from the University of Colorado Boulder and have delivered production-ready solutions across energy, renewables, and enterprise domains. I enjoy turning messy data into actionable insights and collaborating with domain experts to drive measurable impact.
I’m passionate about prompt engineering, model evaluation, and deploying robust ML pipelines on AWS and containerized platforms. In my free time, I explore new NLP techniques, benchmark models, and document best practices to accelerate AI adoption within teams.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Associate AI Engineer at FocalCXM LLC
June 1, 2025 - PresentArchitecting and deploying scalable AI agents using Crew AI, LangChain, LangGraph, and AWS SageMaker, orchestrated via optimized RAG and MCP workflows on AWS (Lambda, SageMaker), reducing manual processing time by 50%. Integrating GPT-4o and custom embeddings with RESTful APIs, DynamoDB, and Pinecone vector DB for high-throughput automation, improving intent classification accuracy by 35%. Fine-tuning LLMs and embeddings with iterative prompt engineering and hyperparameter optimization for robust parsing, summarization, and lead generation.
Machine Learning Researcher (Capstone Project) at Honda
June 1, 2025 - September 26, 2025Designed and implemented an LLM analytics platform leveraging OpenAI, DeepSeek, and LLaMA with advanced prompt engineering and adaptive feedback loops, reducing report generation time by 50%. Engineered transformer benchmarking pipelines targeting latency and interpretability metrics, optimizing model configurations for 30% faster inference throughput. Collaborated with domain experts to validate and refine outputs, driving a 40% increase in enterprise report adoption.
Data Scientist at Serentica Renewables (KKR and Co)
August 1, 2023 - September 26, 2025Forecasted market trends from Indian Energy Exchange (IEX), increasing prediction accuracy by 25%. Refactored Python codebase with NumPy vectorization, reducing processing time by 20% and improving pipeline efficiency. Integrated time-series insights into live dashboards, streamlining decision-making for energy trading operations with stakeholders.
Data Scientist at Corizo
November 1, 2022 - September 26, 2025Engineered customer segmentation and prediction pipelines using TensorFlow, PyTorch, XGBoost, Hugging Face Transformers, GANs, and Graph Neural Networks, boosting predictive performance by 18%. Automated ETL workflows with Python, Pandas, Apache Airflow, Kubeflow Pipelines, and MLflow, cutting data preparation time by 40% and ensuring end-to-end reproducibility. Created interactive dashboards with Streamlit and Plotly to visualize insights, informing client strategy and increasing project adoption by 30%.
AI/ML Engineer at NeoGeoInfo Technologies
August 1, 2022 - September 26, 2025Developed and deployed production-ready chatbots using Rasa and Dialogflow; defined intent and entity schemas plus agent-handoff rules; integrated via FastAPI/Flask. Built Generative AI and NLP pipelines with scikit-learn, spaCy, and Transformers (BERT/DistilBERT) for intent classification, added precision/recall/F1 evaluation and MLflow tracking. Containerized services with Docker and scheduled training/automation with Airflow; deployed on AWS (EC2, Lambda, SageMaker) and created Tableau dashboards for containment, latency, and accuracy KPIs.
Associate AI Engineer at FocalCXM LLC
June 1, 2025 - PresentArchitecting and deploying scalable AI agents using Crew AI, LangChain, LangGraph, and AWS SageMaker, orchestrated via optimized RAG and MCP workflows on AWS (Lambda, SageMaker), reducing manual processing time by 50%. Integrating GPT-4o and custom embeddings with RESTful APIs, Amazon DynamoDB, and Pinecone vector DB for high-throughput automation, improving intent classification accuracy by 35%. Fine-tuning LLMs and embeddings with iterative prompt engineering and hyperparameter optimization for robust parsing, summarization, and lead generation.
Machine Learning Researcher (Capstone Project) at Honda
June 1, 2025 - September 26, 2025Designed and implemented an LLM analytics platform leveraging OpenAI, DeepSeek, and LLaMA with advanced prompt engineering and adaptive feedback loops, reducing report generation time by 50%. Engineered transformer benchmarking pipelines targeting latency and interpretability metrics, optimizing model configurations for 30% faster inference throughput. Collaborated with domain experts to validate and refine outputs, driving a 40% increase in enterprise report adoption.
Data Scientist at Serentica Renewables (KKR and Co)
August 1, 2023 - September 26, 2025Forecasted market trends from Indian Energy Exchange (IEX), increasing prediction accuracy by 25%. Refactored Python codebase with NumPy vectorization, reducing processing time by 20% and improving pipeline efficiency. Integrated time-series insights into live dashboards, streamlining decision-making for energy trading operations with stakeholders.
Data Scientist at Corizo
November 1, 2022 - September 26, 2025Engineered customer segmentation and prediction pipelines using TensorFlow, PyTorch, XGBoost, Hugging Face Transformers, GANs, and Graph Neural Networks, boosting predictive performance by 18%. Automated ETL workflows with Python, Pandas, Apache Airflow, Kubeflow Pipelines, and MLflow, cutting data preparation time by 40% and ensuring end-to-end reproducibility. Created interactive dashboards with Streamlit and Plotly to visualize insights, informing client strategy and increasing project adoption by 30%.
AI/ML Engineer at NeoGeoInfo Technologies
August 1, 2022 - September 26, 2025Developed and deployed production ready chatbots using Rasa and Dialogflow; defined intent and entity schemas plus agent-handoff rules; integrated via FastAPI/Flask. Built Generative AI and NLP pipelines with scikit-learn, spaCy, and Transformers (BERT/DistilBERT) for intent classification, added precision/recall/F1 evaluation and MLflow tracking. Containerized services with Docker and scheduled training/automation with Airflow; deployed on AWS (EC2, Lambda, SageMaker) and created Tableau dashboards for containment, latency, and accuracy KPIs.
Associate AI Engineer at FocalCXM LLC
June 1, 2025 - PresentArchitecting and deploying scalable AI agents using CrewAI, LangChain, LangGraph, and AWS SageMaker; orchestrated via optimized RAG and MCP workflows on AWS (Lambda, Sagemaker), reducing manual processing time by 50%.
Machine Learning Researcher (Capstone Project) at Honda
June 1, 2025 - September 26, 2025Designed and implemented an LLM analytics platform leveraging OpenAI, DeepSeek, and LLaMA with advanced prompt engineering and adaptive feedback loops, reducing report generation time by 50%. Engineered transformer benchmarking pipelines targeting latency and interpretability metrics, optimizing model configurations for 30% faster inference throughput.
Data Scientist at Serentica Renewables (KKR and Co)
August 1, 2023 - September 26, 2025Forecasted market trends from Indian Energy Exchange (IEX), increasing prediction accuracy by 25%. Refactored Python codebase with NumPy vectorization, reducing processing time by 20% and improving pipeline efficiency. Integrated time-series insights into live dashboards, streamlining decision-making for energy trading operations with stakeholders.
Data Scientist at Corizo
November 1, 2022 - September 26, 2025Engineered customer segmentation and prediction pipelines using TensorFlow, PyTorch, XGBoost, Hugging Face Transformers, GANs, and Graph Neural Networks, boosting predictive performance by 18%. Automated ETL workflows with Python, Pandas, Apache Airflow, Kubeflow Pipelines, and MLflow, cutting data preparation time by 40% and ensuring end-to-end reproducibility.
AI/ML Engineer at NeoGeoInfo Technologies
August 1, 2022 - September 26, 2025Developed and deployed production-ready chatbots using Rasa and Dialogflow; defined intent and entity schemas plus agent-handoff rules; integrated via FastAPI/Flask. Built Generative AI and NLP pipelines with scikit-learn, spaCy, and Transformers (BERT/DistilBERT) for intent classification; containerized services with Docker; deployed on AWS (EC2, Lambda, SageMaker) and created Tableau dashboards for containment, latency, and accuracy KPIs.
Education
Master of Science in Data Science at University of Colorado Boulder
January 11, 2030 - September 26, 2025Bachelor of Technology in Computer Science and Engineering at Vellore Institute of Technology (VIT)
January 11, 2030 - September 26, 2025Master of Science in Data Science at University of Colorado Boulder
January 11, 2030 - September 26, 2025Bachelor of Technology in Computer Science and Engineering at Vellore Institute of Technology (VIT)
January 11, 2030 - September 26, 2025Master of Science, Data Science at University of Colorado Boulder
January 11, 2030 - September 26, 2025Bachelor of Technology, Computer Science and Engineering at Vellore Institute of Technology (VIT)
January 11, 2030 - September 26, 2025Qualifications
Spell Checker Publication
April 1, 2022 - September 26, 2025Industry Experience
Software & Internet, Energy & Utilities, Professional Services, Healthcare, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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