I am an experienced AI/ML Engineer with a strong foundation in generative AI and cloud-native API development. I have engineered generative AI pipelines on AWS and integrated multiple AI agents to optimize workflows. I am eager to leverage my expertise in machine learning and audio processing to design innovative, brand-specific sound solutions for sonic branding. Throughout my career, I have contributed to scalable backend systems, autonomous AI agent systems, and fine-tuned GPT models with RLHF to improve performance. My goal is to blend AI technologies and audio expertise to create unique sonic identities and enhance human-machine interactions.

BHARATH KUMAR VAKAPALLI

I am an experienced AI/ML Engineer with a strong foundation in generative AI and cloud-native API development. I have engineered generative AI pipelines on AWS and integrated multiple AI agents to optimize workflows. I am eager to leverage my expertise in machine learning and audio processing to design innovative, brand-specific sound solutions for sonic branding. Throughout my career, I have contributed to scalable backend systems, autonomous AI agent systems, and fine-tuned GPT models with RLHF to improve performance. My goal is to blend AI technologies and audio expertise to create unique sonic identities and enhance human-machine interactions.

Available to hire

I am an experienced AI/ML Engineer with a strong foundation in generative AI and cloud-native API development. I have engineered generative AI pipelines on AWS and integrated multiple AI agents to optimize workflows. I am eager to leverage my expertise in machine learning and audio processing to design innovative, brand-specific sound solutions for sonic branding.

Throughout my career, I have contributed to scalable backend systems, autonomous AI agent systems, and fine-tuned GPT models with RLHF to improve performance. My goal is to blend AI technologies and audio expertise to create unique sonic identities and enhance human-machine interactions.

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Experience Level

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Intermediate
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Work Experience

AI/ML Engineer at Robotics Technologies
May 1, 2025 - Present
Engineered end-to-end data pipelines integrating Databricks with upstream sources, automating data ingestion with pydantic and Spark SQL to streamline transformation of raw data into analytics-ready datasets for real-time processing. Developed a generative AI pipeline on AWS leveraging API Gateway, Lambda, AWS Bedrock, and SageMaker, implementing cloud-native APIs and microservices in a serverless architecture with CI/CD. Created a modular orchestrator on an MCP server integrating five AI agents, using YAML-defined dynamic prompt templates for sequential workflows and multi-step chaining, enhancing scalability and flexibility.
AI Software Engineer (Intern) at SuperIntro
May 1, 2025 - August 20, 2025
Developed scalable, high-performance backend systems using Python, Flask, and MongoDB by optimizing RESTful APIs, error management, and system resilience. Implemented authentication protocols (OAuth, JWT, Firebase Auth) to enhance secure access control. Designed and integrated a session-aware AI agent with Langchain, featuring dynamic LLM routing for complex query processing. Developed a voice-enabled IVR powered by Amazon Polly Neural TTS to support brand-specific audio identities. Implemented an asynchronous Python RAG system combining Azure OpenAI embeddings via LangChain for vectorized search and hybrid retrieval.
Generative AI Engineer (Intern) at Xpert Analytics
May 1, 2025 - August 20, 2025
Built a multi-purpose chatbot integrating RAG with vector databases (e.g., Faiss), web search, and audio/video analysis using React, Gemini, Next.js, and FastAPI. Developed an autonomous AI agent system analyzing datasets, generating code, and validating outputs with continuous feedback loops for robustness. Fine-tuned a GPT model using PyTorch and TensorFlow and employed RLHF with QLoRA, reward modeling, and PPO to enhance model performance by 30%.
Software Engineer at Quadrant Resource
September 1, 2022 - August 20, 2025
Developed predictive analytics models for land and disease prediction using clinical and biochemical data, achieving up to 97% accuracy via feature engineering and evaluation with Scikit-learn and Keras. Created interactive EDA dashboards with Tableau and Plotly for data insights and model evaluation. Built secure RESTful APIs and managed scalable AWS infrastructure including EC2, Lambda, S3, RDS, and Kubernetes, enhancing system performance and reducing operational costs.

Education

Master of Science, Data Science at Lewis University
January 11, 2030 - May 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

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