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AS

Anshula Sonkusare

AI Engineer · AI Software Engineer

Berlin, Germany

@anshula_sonkusare

0 followers

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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

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL Git AWS PHP RAG LLMs MySQL NumPy Keras Excel CI/CD Faiss Python Pandas Docker Tableau PyTorch LangChain Terraform AI Agents TensorFlow OpenAI API scikit-learn GitHub Actions Semantic Search Prompt Engineering Natural Language Processing Google Cloud Platforms (GCP) API Integration Understanding

Languages

Fluent Fluent Comfortable using it for work.
English Speak · Read
Conversational Conversational Can hold an everyday conversation.
German Speak · Read

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

🎯 Hobbies & interests

  • Dancing
  • Reading

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