Open to opportunities

Nisha Pindyalu

@nishapindyalu

Lead Machine Learning Engineer at Code & Theory, architecting enterprise agentic AI platforms with RAG and multi-agent orchestration.

India

Message

What I'm looking for

I’m interested in translating research ideas into experimentally validated, practical AI systems, especially across LLMs, information retrieval, representation learning, and intelligent AI systems.

At Code & Theory, I architect enterprise AI systems that bring together LLMs, RAG, semantic retrieval, and agentic workflows. For Machine, I designed a multi-agent platform using LangGraph and Google ADK, with evaluation frameworks for grounding and retrieval quality.

At Integrated Environmental Solutions (IES R&D), I developed applied AI solutions for commercial products and European research initiatives. My work on hybrid thermal comfort prediction produced an interpretable model with 96.03% accuracy.

At United Technologies Research Center (UTRC), I researched deep-learning architectures and representation learning for aircraft-engine prognostics. My representation-learning approaches reduced training time by 50× while improving predictive performance.

Earlier, I improved the Natural Language Processing pipeline for Siri at Apple (via GlobeTech), and developed forecasting, optimization, and predictive analytics solutions at Oracle India Pvt. Ltd. My research also includes an interpretable ECG classification model that achieved 97.12% accuracy.

Experience

Work history, roles, and key accomplishments

Current

Lead Machine Learning Engineer

Current

Code & Theory

Nov 2024 - Present (1 year 11 months)

Designed and architected production-grade enterprise AI systems leveraging machine learning, deep learning, LLMs, Agentic AI, RAG, and multi-agent orchestration. Led technical initiatives across enterprise AI platforms, translating business requirements into scalable AI solutions.

Machine Learning Deep Learning Large Language Models Agentic AI RAG LangGraph Google ADK Semantic Retrieval Multi agent orchestration Evaluation Frameworks Embeddings UMAP HDBSCAN MMR Recommendation Systems AI Governance ISO 42001

Current

Lead Machine Learning Engineer

Current

Code & Theory

Nov 2024 - Present (1 year 11 months)

Designed and architected production-grade enterprise AI systems leveraging machine learning, deep learning, LLMs, Agentic AI, RAG, and multi-agent orchestration. Led technical initiatives and collaborated with cross-functional teams to translate business requirements into scalable AI solutions.

MMR Recommendation Systems AI Governance ISO 42001 Machine Learning Deep Learning Large Language Models Agentic AI RAG LangGraph Google ADK Semantic Retrieval Multi agent orchestration Evaluation Frameworks Embeddings UMAP HDBSCAN

Senior Software Engineer – AI & Data Science

Integrated Environmental Solutions (IES R&D)

Feb 2021 - Oct 2024 (3 years 8 months)

Worked on applied machine learning and AI research across commercial products and European research initiatives. Developed interpretable ML models, provided technical leadership, mentored engineers, and authored research publications.

Machine Learning Deep Learning IoT Cloud Technologies Optimization Explainable AI Model Deployment Technical Leadership Research Mentorship

Senior Software Engineer – AI & Data Science

Integrated Environmental Solutions (IES R&D)

Feb 2021 - Oct 2024 (3 years 8 months)

Worked on applied machine learning and AI research across commercial products and European research initiatives. Developed interpretable ML models for building energy efficiency and provided technical leadership, mentoring engineers and authoring research publications.

Machine Learning Deep Learning IoT Cloud Technologies Optimization Explainable AI Model Deployment Technical Leadership Research Python TensorFlow PyTorch

Machine Learning Researcher

United Technologies Research Center (UTRC)

Feb 2020 - Jan 2021 (11 months)

Conducted research into deep-learning architectures and representation learning for aircraft-engine Prognostics and Health Management. Designed and evaluated novel architectures for Remaining Useful Life prediction, achieving a 50x reduction in training time.

Deep Learning Representation Learning Time Series Modelling RNN LSTM 1D CNN TCN (Temporal Convolutional Network)Attention Mechanisms Prognostic Health Analysis Model Optimization Python PyTorch TensorFlow

Machine Learning Researcher

United Technologies Research Center (UTRC)

Feb 2020 - Jan 2021 (11 months)

Deep Learning Representation Learning Time Series Modelling RNN LSTM 1D CNN TCN (Temporal Convolutional Network)Attention Mechanisms Model Optimization Scalability Python PyTorch TensorFlow

Siri Engineer

Apple (via GlobeTech)

Aug 2019 - Dec 2019 (4 months)

Improved Siri's Natural Language Processing pipeline by expanding linguistic coverage and identifying issues affecting end-user experience. Collaborated with engineering teams to improve language quality across large-scale production AI systems.

Natural Language Processing Machine Learning Python Large scale Systems Collaboration

Siri Engineer

Apple (via GlobeTech)

Aug 2019 - Dec 2019 (4 months)

Natural Language Processing Linguistic Coverage Production AI Systems Collaboration

Associate Analyst

Oracle India Pvt. Ltd.

Aug 2015 - Jul 2018 (2 years 11 months)

Developed forecasting, optimization, and predictive analytics solutions for enterprise customers. Built machine learning models and analytics pipelines supporting business decision-making, and designed interactive analytical dashboards.

Forecasting Optimization Predictive Analytics Machine Learning Data Analysis Dashboarding SQL Python

Associate Analyst

Oracle India Pvt. Ltd.

Aug 2015 - Jul 2018 (2 years 11 months)

Developed forecasting, optimization, and predictive analytics solutions for enterprise customers. Built machine learning models and analytics pipelines, and designed interactive analytical dashboards for business stakeholders.

Forecasting Optimization Predictive Analytics Machine Learning Analytics Pipelines Data Visualization Dashboarding SQL