Hi, I'm Harsha P, an innovative Agentic AI & ML Engineer with 3+ years of experience designing, developing, and deploying autonomous systems powered by machine learning and large language models. I enjoy building agentic architectures that enable multi-step reasoning, tool use, and dynamic decision-making using frameworks like LangChain, AutoGen, and CrewAI. I excel in deep learning, LLM fine-tuning, retrieval-augmented generation, vector search, and scalable ML infrastructure across cloud environments. I love integrating AI agents with real-world systems through APIs, function-calling, orchestration layers, and robust evaluation workflows. I’m passionate about creating reliable, safe, and production-ready AI systems that automate complex workflows, reduce manual effort, and deliver measurable business impact.

Harsha P

Hi, I'm Harsha P, an innovative Agentic AI & ML Engineer with 3+ years of experience designing, developing, and deploying autonomous systems powered by machine learning and large language models. I enjoy building agentic architectures that enable multi-step reasoning, tool use, and dynamic decision-making using frameworks like LangChain, AutoGen, and CrewAI. I excel in deep learning, LLM fine-tuning, retrieval-augmented generation, vector search, and scalable ML infrastructure across cloud environments. I love integrating AI agents with real-world systems through APIs, function-calling, orchestration layers, and robust evaluation workflows. I’m passionate about creating reliable, safe, and production-ready AI systems that automate complex workflows, reduce manual effort, and deliver measurable business impact.

Available to hire

Hi, I’m Harsha P, an innovative Agentic AI & ML Engineer with 3+ years of experience designing, developing, and deploying autonomous systems powered by machine learning and large language models. I enjoy building agentic architectures that enable multi-step reasoning, tool use, and dynamic decision-making using frameworks like LangChain, AutoGen, and CrewAI.

I excel in deep learning, LLM fine-tuning, retrieval-augmented generation, vector search, and scalable ML infrastructure across cloud environments. I love integrating AI agents with real-world systems through APIs, function-calling, orchestration layers, and robust evaluation workflows. I’m passionate about creating reliable, safe, and production-ready AI systems that automate complex workflows, reduce manual effort, and deliver measurable business impact.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
See more

Language

English
Fluent

Work Experience

Agentic AI Engineer at Meta, USA
May 1, 2025 - Present
Designed and deployed production-grade agentic AI systems enabling autonomous task planning, tool use, and decision-making for high-impact business workflows. Built robust ML pipelines using Python, PyTorch, TensorFlow, Hugging Face, and LangChain; integrated retrieval-augmented generation with FAISS, Pinecone, and Weaviate; developed multi-agent orchestration with AutoGen and CrewAI; implemented safety layers and observability.
Gen AI Engineer at Comerica Bank
November 1, 2023 - April 1, 2025
Designed and deployed end-to-end Generative AI solutions using LLMs, transformers, diffusion models, and GANs for text, image, and multimodal applications. Built scalable ML pipelines with PyTorch, TensorFlow, Hugging Face, and LangChain; implemented RAG using Pinecone; fine-tuned models with LoRA/QLoRA and parameter-efficient methods; created real-time inference APIs with FastAPI, Docker, Kubernetes, and AWS; developed multimodal pipelines and robust evaluation and safety frameworks.
Deep Learning Engineer at TCS, Hyderabad, India
August 1, 2022 - July 1, 2023
Designed and trained deep learning models for classification, detection, and sequence modeling; built scalable data pipelines; developed CNN/RNN/Transformer architectures for production; implemented computer vision pipelines (YOLO, OpenCV, Mask R-CNN) for detection and segmentation; deployed ML models with Docker, Flask, and Azure; performed distributed training and model optimization (quantization, pruning).
Agentic AI Engineer at Meta
May 1, 2025 - Present
Designed and deployed production-grade agentic AI systems enabling autonomous task planning, tool use, and decision-making for high-impact business workflows. Built robust ML pipelines using Python, PyTorch, TensorFlow, Hugging Face, and LangChain for model training, evaluation, and deployment. Engineered retrieval-augmented generation pipelines with FAISS, Pinecone, and Weaviate to improve agent reasoning and reduce error rates. Developed multi-agent orchestration frameworks using AutoGen, CrewAI, and custom orchestrators for collaborative, multi-step automation. Implemented advanced prompt strategies, dynamic context injection, and reasoning enhancements to boost reliability and minimize hallucinations. Integrated autonomous agents with external tools and APIs via function calling, REST APIs, GraphQL, and database connectors. Optimized performance through fine-tuning, instruction tuning, RLHF, and low-latency inference with Docker, Kubernetes, FastAPI, and Azure. Created observabilit

Education

Masters in Computer Science at Texas A&M University, Kingsville
January 11, 2030 - January 5, 2026
Masters in Computer Science at Texas A&M University, Kingsville
January 11, 2030 - January 5, 2026
Master of Science in Computer Science at Texas A&M University, Kingsville
January 11, 2030 - January 5, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Computers & Electronics, Media & Entertainment