Anshula Sonkusare

About

AI Software Engineer with an MSc in Data Science, AI, and Digital Business, experienced in building Python-based AI/LLM solutions, backend integrations, REST APIs, and cloud-ready systems. Strong background in Generative AI, LangChain, RAG, AI agents, Docker, AWS, and agile cross-functional delivery.

Experience

• AI Solution Consultant
  PlutosTech
  Jan 2025 – Jul 2025
• Backend Trainee Intern
  Qaswa Technologies
  Dec 2021 – Jul 2022

Education

• MSc. Data Science, AI and Digital Business
  GISMA University of Applied Science
  Data Science, AI and Digital Business · Sep 2023 – Nov 2025
• BE. Computer Science and Engineering
  Rashtrasant Tukadoji Maharaj Nagpur University
  Computer Science and Engineering · Jul 2018 – Jul 2022

Skills

• SQL
• Git
• Python
• Prompt Engineering
• Tableau
• MySQL
• NumPy
• Pandas
• scikit-learn
• PyTorch
• TensorFlow
• AWS
• PHP
• Docker
• Keras
• LangChain
• Terraform
• Excel
• Generative AI
• REST APIs
• CI/CD
• NLP
• GCP
• RAG
• LLMs
• AI Agents
• GitHub Actions
• Semantic Search
• Faiss
• Openai/Gpt Apis

Projects

• Bias & Fairness Analysis on Amazon Product Reviews
  Fairness metrics, debiasing techniques

  Analyzed Amazon product review recommendations for algorithmic bias, fairness gaps, and unequal product exposure. Documented mitigation steps and evaluation findings to support more explainable model outputs.

• AI Financial Knowledge Assistant
  FastAPI, LangChain, FAISS, LangGraph, Langfuse, Docker, Pytest, AWS, GitHub Actions, Terraform

  Python-based AI/LLM backend service for finance and investment questions using retrieval-augmented generation and agentic workflows. Included observability, REST APIs, structured logging, testing, and cloud-ready deployment preparation.

• LLM-SkillLens: RAG-based Career Skill Intelligence System
  Python, LangChain, FAISS, SQL, vector embeddings

  Master thesis project building a knowledge-heavy RAG workflow to retrieve, rank, and generate contextual recommendations from structured skill data. Included evaluation of retrieval relevance, answer accuracy, hallucination risk, usefulness, and response consistency.

Courses & certifications

• AWS Certified Machine Learning · Model development, AWS SageMaker, Cloud automation, MLOPs
• Tableau for Data Scientist · Data Visualisation, dashboards, KPIs, Tableau Storytelling
• Generative AI for Data Science & Analytics · LLMs, generative modelling, synthetic data, prompt engineering
• Advanced NLP with Python for ML · NLP Pipelines, Text Classification, NER, Scikit-Learn, Python

🗣️ Languages

• English · Professional
• German · Intermediate

🎯 Hobbies & interests

• Dancing
• Reading