Ashwin Parthasarathy-Data Scientist
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Experience
Data Scientist
Mercor Intelligence
- Elevated LLM output reliability by engineering domain-specific prompts and evaluation logic, improving reasoning consistency across production language model workflows.
- Designed advanced coding benchmarks and validated solutions to strengthen training and evaluation datasets, improving model performance on technical problem-solving tasks.
- Designed and implemented automated evaluation frameworks for technical reasoning tasks; optimized LLM output reliability by 15% through rigorous prompt engineering and rubric-based benchmarking.
Senior Analyst/MLE
Tiger Analytics
- Implemented ML observability across data quality, drift detection, anomalies, and model performance, improving reliability and operational visibility of production AI systems.
- Migrated production ML workloads from Azure VMs to Azure Databricks, improving scalability, pipeline throughput, structuring data schemas, and support for near real-time analytics.
- Designed backend architecture integrating Retrieval-Augmented Generation (RAG), enabling enterprise LLM applications with improved retrieval accuracy and response relevance.
- Deployed a cloud-native FastAPI service on Azure Red Hat OpenShift, enabling scalable delivery, CI/CD automation, and resilient enterprise ML service operations.
- Built interactive dashboards and KPI monitoring tools using Superset and Power BI to track operational KPIs.
- Conducted knowledge-sharing, code reviews, and internal workshops, mentoring junior team members.
Machine Learning Engineer
Neoware.ai
- Designed and deployed containerized ML systems using AWS SageMaker, ECS, and ECR with Terraform, enabling scalable model serving and production-ready inference workflows.
- Built AI-driven document processing pipelines using Azure AI services and NLP techniques, automating text extraction.
- Engineered Python backend services for a data validation platform, ensuring dataset integrity and reliability.
Software Engineer
Wipro Technology Solutions
- Developed and integrated Python backend APIs using Django, supporting scalable application services and improving system interoperability across internal tools.
- Owned development of a dashboard using React and Material UI, enabling clearer access to operational metrics.
- Applied classification algorithms including Random Forest and SVM to structured datasets, supporting predictive analysis and data-driven decision workflows.
Associate
Cognizant Technology Solutions
- Developed scalable Python-based automation frameworks, writing modular, reusable code with strong emphasis on data validation, structured logic, and performance optimization.
- Designed and maintained automated testing pipelines integrated with CI/CD workflows, ensuring reliability, reproducibility, and deployment stability across environments.
- Built structured validation systems using Python and Robot Framework, leveraging analytical problem-solving to improve accuracy and reduce defect leakage.
- Applied data-driven analysis to increase test coverage by 20%, identifying failure patterns and improving system robustness across desktop and web applications.
Industry Experience
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Experienced in Information Technology.
Business Area Experience
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Experienced in Information Technology, Quality Assurance, Product Development, and Business Intelligence.
Summary
Software Engineer with overall 7+ years of experience designing scalable APIs, distributed services, and production data systems. Experienced in Python, SQL, and cloud-based data platforms for developing predictive models, RAG and operational dashboards. Proven ability to translate complex datasets into actionable insights and deploy production ML systems using AWS, Azure, and Databricks. Combines strong software engineering foundations with a practical, product-focused approach to reliability, scalability, and production deployment.
Skills
- Languages: Python, R, Js, Typescript, Go (Basic, Sql)
- Technologies & Frameworks: Pytorch, Tensorflow, Scikit-learn, Hugging Face
- Expertise: Machine Learning, Nlp, Llm, Rag, Prompt Engineering, Mlops, Model Deployment, Data Preprocessing, Predictive Modeling, Api Development
- Analytics & Visualization: Powerbi, Streamlit, Apache Superset, Grafana
- Llms: Openai, Google, Mistral
- Agent Frameworks: Langchain, Langgraph
- Vector Dbs: Pinecone, Cosmodb
- Cloud: Aws (Sagemaker, Ecs, Ecr), Azure (Databricks, Red Hat Openshift), Gcp
- Mlops: Docker, Kubernetes, Mlflow, Ci/cd, Terraform
- Databases: Postgresql, Mongodb, Mysql
- Apis: Rest, Fastapi, Flask
- Methodology: Agile / Scrum
Languages
Education
Indian Institute of Management Kozhikode
Executive Post Graduate Programme in Management · Management · Kozhikode, India
Anna University
Bachelor of Engineering, Mechanical · Mechanical Engineering · Chennai, India
Certifications & licenses
Databricks Certified Machine Learning Associate
Databricks
AWS Certified Machine Learning - Specialty
AWS
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Global Experience
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