Hi, I am Sneh Shah.

Aspiring Data Scientist

I am a highly motivated ML Engineer at Salesken.ai with a strong background in Data Science. With a competitive nature, I passionately solve problems and build AI solutions 🤖, showcasing excellent problem-solving skills and a proven ability to adapt quickly to new technologies 🚀.


Mail: snehshah2901@gmail.com

Contact: +91 9428911398


Resume

Experience

ML Engineer 1

Salesken.ai, Bengaluru, Karnataka
Apr 2024–Present

  • Engineered an Email Generation System using LLM Agents with custom prompts and personalized responses for clients, improving custom email creation accuracy.
  • Designed a Knowledge Extractor System using RAG architecture, integrating web scraping, Azure services, and Kafka, enhancing data retrieval efficiency by 25%.
  • Introduced a PII masking solution utilizing pseudonymization, anonymization, tokenization, and truncation techniques, ensuring compliance with data privacy regulations.
  • Constructed a DS Toolkit providing API endpoints for call duration analysis and deal/task summarization using LLM, increasing efficiency by 40%.
  • Designed a Kafka Controller for efficient message handling, idempotency, reducing data duplication by 15%.
  • Optimized the Whisper-ASR system and deployed it on the Triton Inference Server, reducing latency by 25% and enhancing scalability.

Technologies:

  • Python
  • LLM
  • Langchain
  • Azure
  • Kafka
  • Triton Inference Server
  • Kubernetes
  • VectorDB
  • MongoDB
  • Postgres
  • Streamlit

Projects

Neural Style Transfer

Orchestrated the research and development of a Neural Style Transfer project, analyzing recent advances and 2 main techniques. Engineered a high-performance NST system with approximately 30% reduction in processing time using L-BFGS optimization.

  • Python
  • Pytorch
  • Deep Learning
  • Artistic Image Enhancement
  • L-BFGS optimization

Diabetic-Retinopathy Detection

This project aims to use Diabetic retinopathy detection using features from deep learning and fitting into machine learning algorithms and the data is taken form the kaggle.

  • Python
  • Tensorflow
  • OpenCV
  • Scikit-Learn
  • Pandas

CreditCard Fraud Detection

This project is focused on building a credit card fraud detection system using a dataset from Kaggle. The goal is to develop a machine learning model that can accurately detect fraudulent credit card transactions and minimize false positives.

  • Python
  • Keras
  • Scikit-Learn
  • Machine Learning
  • Matplotlib

Internships & Certifications

Saleken (ML Intern)

• Optimized the Whisper-ASR codebase through Docker deployment, documenting streamlined steps. • Elevated code quality by introducing 2 specialized modules for speaker diarization and voice activity detection. • Successfully deployed Emotion Detection models on Triton Inference Server, optimizing configurations and integrating metrics with Prometheus for effective monitoring.

  • Python
  • Docker
  • Triton Inference Server
  • LLMs
  • Fastapi
  • Hugging Face
  • VAD

Open Weaver

• Developed a customized interface for Chat-GPT, acquiring hands-on experience in seamlessly integrating AI language models.• Utilized Open AI's Whisper and DALL-E tools to convert audio into visually generated images.• Applied deep learning algorithms and computer vision methods to detect and mark Deep-Fake images.

  • Python
  • Gen -AI
  • NLP
  • Deep Learning
  • gradio
  • NLTK
  • Spacy

Publications

Comparative Performance Analysis of ML and DL Techniques in Pneumonia Detection

• Published in 14th ICCCNT conference, IIT Delhi
• Evaluated 6 ML and 3 DL algorithms for pneumonia detection
• Designed CNN achieving 94.06% training and 89.74% testing accuracy

  • Deep Learning
  • CNN
  • Medical Imaging

Education

Christ (Deemed to be University)

Masters of Science (Data Science)
Current GPA: 3.63/4
Aug 2022 - Present
Bengaluru, Karnataka

Gujarat University

Bachelors of Science (Data Science)
GPA: 7.77/10
Jun 2019 - May 2022
Ahmedabad, Gujarat

Skills

Languages

  • Python
  • SQL
  • R
  • Matlab
  • Java

Tools and Frameworks

  • Git
  • Tableau
  • PowerBI
  • Weka
  • MS Excel
  • AWS

Libraries

  • Scikit-Learn
  • NumPy
  • Pandas
  • OpenCV
  • TensorFlow
  • Keras
  • Pytorch
  • Matplotlib
  • Seaborn
  • Transformers
  • Spacy
  • NLTK

Certifications

  • Machine Learning Specialization (Jun 2023)
  • Data Science with Python (Oct 2022)
  • Data Analysis with Python (Jul 2022)