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I’m Bhargavi Murari, an AI/ML Engineer with 4 years of experience designing, developing, and deploying scalable ML, NLP, and data-driven solutions. I’m proficient in Python, SQL, and cloud platforms (AWS, GCP, Azure), and I build robust data pipelines and production-ready ML workflows that deliver actionable insights at scale. I’m passionate about model optimization, deployment, monitoring, and explainable AI, and I thrive on collaborating with product, legal, and data teams to turn complex problems into practical solutions. I excel at cross-functional collaboration, problem solving, and communicating complex technical concepts in a clear, stakeholder-friendly way. I’m committed to delivering reliable, auditable, and compliant solutions, and I enjoy iterating quickly while maintaining strong governance and ethical AI practices.…I’m Bhargavi Murari, an AI/ML Engineer with 4 years of experience designing, developing, and deploying scalable ML, NLP, and data-driven solutions. I’m proficient in Python, SQL, and cloud platforms (AWS, GCP, Azure), and I build robust data pipelines and production-ready ML workflows that deliver actionable insights at scale. I’m passionate about model optimization, deployment, monitoring, and explainable AI, and I thrive on collaborating with product, legal, and data teams to turn complex problems into practical solutions. I excel at cross-functional collaboration, problem solving, and communicating complex technical concepts in a clear, stakeholder-friendly way. I’m committed to delivering reliable, auditable, and compliant solutions, and I enjoy iterating quickly while maintaining strong governance and ethical AI practices.

Bhargavi Murari

AI Engineer, AI Developer, Data Scientist, +2

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I’m Bhargavi Murari, an AI/ML Engineer with 4 years of experience designing, developing, and deploying scalable ML, NLP, and data-driven solutions. I’m proficient in Python, SQL, and cloud platforms (AWS, GCP, Azure), and I build robust data pipelines and production-ready ML workflows that deliver actionable insights at scale. I’m passionate about model optimization, deployment, monitoring, and explainable AI, and I thrive on collaborating with product, legal, and data teams to turn complex problems into practical solutions. I excel at cross-functional collaboration, problem solving, and communicating complex technical concepts in a clear, stakeholder-friendly way. I’m committed to delivering reliable, auditable, and compliant solutions, and I enjoy iterating quickly while maintaining strong governance and ethical AI practices.…I’m Bhargavi Murari, an AI/ML Engineer with 4 years of experience designing, developing, and deploying scalable ML, NLP, and data-driven solutions. I’m proficient in Python, SQL, and cloud platforms (AWS, GCP, Azure), and I build robust data pipelines and production-ready ML workflows that deliver actionable insights at scale. I’m passionate about model optimization, deployment, monitoring, and explainable AI, and I thrive on collaborating with product, legal, and data teams to turn complex problems into practical solutions. I excel at cross-functional collaboration, problem solving, and communicating complex technical concepts in a clear, stakeholder-friendly way. I’m committed to delivering reliable, auditable, and compliant solutions, and I enjoy iterating quickly while maintaining strong governance and ethical AI practices.

Available to hire

I’m Bhargavi Murari, an AI/ML Engineer with 4 years of experience designing, developing, and deploying scalable ML, NLP, and data-driven solutions. I’m proficient in Python, SQL, and cloud platforms (AWS, GCP, Azure), and I build robust data pipelines and production-ready ML workflows that deliver actionable insights at scale. I’m passionate about model optimization, deployment, monitoring, and explainable AI, and I thrive on collaborating with product, legal, and data teams to turn complex problems into practical solutions.

I excel at cross-functional collaboration, problem solving, and communicating complex technical concepts in a clear, stakeholder-friendly way. I’m committed to delivering reliable, auditable, and compliant solutions, and I enjoy iterating quickly while maintaining strong governance and ethical AI practices.

Skills

Experience Level

Expert

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Work Experience

AI/ML Engineer at FinServ Inc

April 1, 2024 - Present

Designed an AI-powered financial intelligence platform integrating risk, fraud, and compliance workflows; improved insight delivery speed by 28% and ensured audit-ready extraction from financial datasets. Built scalable data pipelines using Python, DuckDB, Polars, Apache Arrow, and Snowflake to process 12 million statements, transactions, and regulatory filings, improving storage efficiency and traceability by 35% for reproducible multi-team ML workflows. Engineered multi-dimensional features using temporal transaction patterns, semantic embeddings, and probabilistic risk metrics with pandas, spaCy, and sentence-transformers, reducing classification noise and false positives by 22%. Fine-tuned transformers (ModernBERT, DeBERTa-v4, Mistral-7B) for fraud detection and clause extraction; utilized adapters and QLoRA to boost inference speed and accuracy by 17%. Optimized hyperparameters with Optuna, Ray Tune, and Hydra across 150 distributed experiments; tracked metrics with Weights & Bias

AI/ML Engineer at Freshworks Technologies

June 1, 2021 - August 1, 2023

Spearheaded the development of a customer support automation system for Freshdesk, integrating intelligent ticket classification, priority prediction, and automated responses; reduced resolution time by 28% and improved agent efficiency. Built scalable data pipelines with Airflow and PySpark, processing large volumes of support tickets and real-time user feedback from MySQL and PostgreSQL; enabling predictive insights for over 1.5M users globally. Applied NLP-based classification and sentiment analysis to derive features like ticket urgency and sentiment score; improved first-contact resolution by 22% and reduced customer churn by 15%. Deployed models using XGBoost, LSTM, and BERT embeddings to forecast ticket escalation risks and CSAT; enhanced accuracy and timeliness. Implemented real-time ticket routing and prioritization as microservices using Docker, Kubernetes, and Kafka; achieved 99.8% uptime. Automated model retraining and drift detection with Airflow and MLflow; monitored with