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Bajana sai chaitanya varma

@bajanasaichaitanyava

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Senior AI/ML Engineer specializing in Generative AI, LLMs, and edge MLOps.

India

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What I'm looking for

I want to build production-grade Generative AI and LLM systems (RAG, multi-agent) and ship edge-optimized models with strong MLOps. I’m looking for teams that care about latency, cost, energy efficiency, and real-world impact.

I’m a Senior AI/ML Engineer with 6+ years designing and deploying scalable deep learning, generative AI, and edge AI solutions across cloud and resource-constrained environments. I specialize in Generative AI and LLM ecosystems, turning models into production-grade applications.

I build RAG pipelines and multi-agent systems using LangChain, OpenAI APIs, Hugging Face, and AutoGen—focused on accuracy, reliability, and user-facing experience. I’ve integrated LLM-driven conversational interfaces to deliver real-time, context-aware responses.

I’m also highly hands-on with performance optimization for latency and energy efficiency, including neuromorphic computing and hardware-aware model deployment. I’ve designed and deployed models on Akida SoC and other edge accelerators, transforming CNNs into spiking neural networks and improving inference efficiency through quantization and pruning.

Across my roles, I own end-to-end ML systems and MLOps: model development, evaluation, deployment, and monitoring with MLflow, CI/CD pipelines, and cloud platforms (AWS, GCP, Azure). I bring a problem-solving mindset that spans AI, data analytics, and workflow systems—from data pipelines and dashboarding to intelligent automation.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Motivity Labs

Jan 2026 - Present (5 months)

Contributed to a large-scale RAG pipeline by building SQL-based data workflows for processing, analytics, and dashboarding. Developed agentic AI chatbots for medical and psychological analysis and integrated LLM-driven conversational interfaces for real-time, context-aware responses.

SQL Based Data Workflows Agentic AI Multi Agent Systems Conversational Interfaces Data Engineering Dashboarding

Data Scientist - GenAI

TrueTek Consulting

Nov 2024 - Nov 2025 (1 year)

Built customer onboarding support frameworks and improved deployment efficiency through detailed installation walkthroughs. Designed, fine-tuned, and deployed domain-specific LLM solutions using LangChain and OpenAI APIs, optimizing end-to-end pipelines for latency, cost efficiency, and model accuracy on AWS and Azure.

Generative AI LLM Fine tuning LLMs (LangChain OpenAI API Prompt Engineering

Solutions Architect

BrainChip Inc

Mar 2022 - Oct 2024 (2 years 7 months)

Designed and deployed neuromorphic and transformer-based AI models on Akida SoC for real-time, low-power intelligent applications. Converted CNNs to spiking neural networks achieving ultra-low energy (<38 μJ per inference) and built on-device RAG systems for real-time summarization and event detection, with automated benchmarking and failure-mode analysis.

Akida SoC ONNX Runtime PyTorch Hardware Aware Deployment Optimization

Data Engineer

N.V. Data Systems

May 2017 - Oct 2019 (2 years 5 months)

Developed and deployed statistical and ML fraud-risk models (GLM, boosting) on large-scale insurance datasets. Built and optimized NLP claim classification systems (30% categorization accuracy improvement) and fraud detection pipelines (18% higher identification rates), plus time-series forecasting models that improved financial risk planning decisions by 40%.

Fraud Detection XGBoost Random Forest Logistic Regression Time Series Models EDA Statistical Modeling Hypothesis Testing