Summary
Overview
Work History
Education
Skills
Timeline
Generic

Anusha M

NJ

Summary

Full-stack AI/ML Engineer with 6+ years of experience building Python-based applications, AI agents, RAG pipelines, and production-ready automation systems across Banking, Telecom, Healthcare, Retail, and E-commerce.
Skilled in developing FastAPI/Flask/Django services, building LLM-powered agents using LangChain, LangGraph, and multi-agent architectures, and integrating vector search, prompt engineering, and session memory for intelligent automation.
Hands-on experience with browser automation, RPA, screen scraping, cloud deployments (AWS/Azure/GCP), Docker, CI/CD, and scalable SQL/NoSQL databases. Strong in context engineering, advanced ML workflows, model serving, and database optimization.

Overview

8
8
years of professional experience

Work History

AI /ML Engineer

Citigroup
, TX
08.2023 - Current
  • Built and deployed full-stack Python microservices using FastAPI/Flask integrated with React-based dashboards for real-time underwriting and risk analytics.
  • Designed production-level AI agents + RAG pipelines using LangChain and LangGraph for document intelligence, automated decision-making, and customer support flows.
  • Implemented context engineering frameworks, including prompt templates, chunking, metadata retrieval, and session-aware state management for LLM workflows.
  • Engineered and optimized PostgreSQL and NoSQL databases, including schema design, indexing, query tuning, and high-throughput API integration.
  • Containerized and deployed AI services via Docker + CI/CD, integrating model serving, vector search (FAISS), and knowledge graph APIs for fraud analytics.
  • Built knowledge graph–driven fraud detection using Neo4j/AWS Neptune with GNNs for relationship-based scoring and anomaly detection.
  • Led end-to-end ML lifecycle on AWS using SageMaker, Glue, PySpark, with active monitoring via CloudWatch & Model Monitor.

AI/ML Engineer

Accenture
Hyderabad, IN
08.2019 - 05.2022
  • Built Python-based data automation and REST APIs using Flask/FastAPI, supporting high-traffic video analytics platforms.
  • Applied NLP (CRF, LDA, BERT) for feedback classification and content analysis, improving engagement accuracy by 15%.
  • Implemented creator segmentation using clustering (DBSCAN, Spectral Clustering) to optimize investment targeting by 25%.
  • Created recommendation systems (matrix factorization, k-NN) improving cross-creator collaboration by 40%.
  • Built automated dashboards using Tableau and Dash/Plotly for real-time video performance analytics.
  • Automated browser workflows using Selenium for content extraction and metadata enrichment.

Data Scientist/ AI Engineer

LTI mindtree
05.2018 - 07.2019
  • Developed data ingestion and model training pipelines using AWS Glue and SageMaker for customer churn prediction.
  • Built ETL pipelines and ML training workflows using AWS Glue + SageMaker for customer churn prediction.
  • Integrated Snowflake, AWS RDS, and automated data ingestion pipelines for ML-driven analytics.
  • Developed Dockerized ML deployments with CI/CD using GitHub Actions and Terraform.
  • Productionized scikit-learn models, improving prediction latency and delivery by 40%.
  • Created Power BI and Tableau dashboards for KPI tracking and performance monitoring

Education

Master of Science - Information Studies

Trine University
Angola, IN

Skills

  • Programming: Python, SQL, Scala
  • ML & Deep Learning: TensorFlow, PyTorch, Scikit-learn, Hugging Face, Keras
  • MLOps: MLflow, Kubeflow, Airflow, Azure ML, SageMaker, Docker, Kubernetes
  • Cloud Platforms: AWS (S3, Lambda, SageMaker, Redshift), Azure (Data Factory, Databricks, Synapse, Data Lake), GCP (BigQuery, Vertex AI)
  • Data Engineering: Spark, Databricks, Kafka, Snowflake, Hive, HDFS
  • Analytics & Visualization: Power BI, Tableau, SQL, Pandas, NumPy, Matplotlib
  • NLP & CV Techniques: Text Classification, Tokenization, Transformers, CNNs, Feature Extraction
  • Other: Data Modeling, Feature Engineering, Model Evaluation, API Development (Flask/FastAPI)Programming Languages: Python, R, SQL,java
  • Cloud Technologies: AWS
  • Reporting Tools: Power BI, Tableau
  • Libraries: Pandas, NumPy, BeautifulSoup
  • Big Data Processing Framework: Databricks, Apache Spark, Hadoop
  • Database Tools: MongoDB, MySQL, Oracle, Google BigQuery
  • Certifications

-Microsoft Certified: Fabric Data Engineer Associate

Timeline

AI /ML Engineer

Citigroup
08.2023 - Current

AI/ML Engineer

Accenture
08.2019 - 05.2022

Data Scientist/ AI Engineer

LTI mindtree
05.2018 - 07.2019

Master of Science - Information Studies

Trine University
Anusha M