Pratiksha Pawar
@pratikshapawar1
I build production RAG and agentic AI systems for regulated workflows.
What I'm looking for
At Deutsche Bank, I build production-grade RAG and multi-agent AI systems that automate regulatory intelligence, compliance review, and risk assessment workflows. My work reduced analyst research effort by 70%, improved financial-document extraction accuracy by 35%, and achieved 91% Top-5 retrieval relevance with citation-grounded responses.
Previously at HCLTech, I delivered machine learning, NLP, semantic search, and data-pipeline solutions using Python, PyTorch, TensorFlow, Spark, and AWS. I also built production APIs and MLOps workflows that supported scalable model deployment, automation, and decision-support systems.
Experience
Work history, roles, and key accomplishments
Architected and deployed a production-grade RAG platform on AWS Bedrock, Snowflake, LangChain, and Pinecone, reducing analyst research effort by 70%. Designed multi-agent AI systems for compliance automation and established enterprise LLMOps practices.
Education
Degrees, certifications, and relevant coursework
State University of New York at Buffalo
Master of Science, Data Science
2024 - 2025
Pursuing a Master of Science in Data Science, focusing on advanced analytics and machine learning techniques.
Tech stack
Software and tools used professionally
Apache Spark
AWS Step Functions
GitHub
Kubernetes
PySpark
dbt
PostgreSQL
Titan
Redis
Terraform
JavaScript
JSON
XML
TensorFlow
PyTorch
MLflow
scikit-learn
Kubeflow
DeepSpeed
Kafka
FastAPI
Grafana
Prometheus
AWS Lambda
Serverless
Airflow
GuardRails
s3-lambda
SQL
Hugging Face
LangChain
LlamaIndex
Weaviate
AutoGen
Pinecone
CrewAI
vLLM
Ragas
pgvector
Agentic
Faiss
LangGraph
Availability
Location
Authorized to work in
Job categories
Skills
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