SHARAD TIWARI

Jiwaji University

B.Tech. in Computer Science And Engineering

July 2017 - May 2021

Relevant Coursework

• Calculas, Linear Algebra, Statistics
• Object Oriented Programming Systems
• Data Structures & Algorithms
• Database Management Systems
• Operating Systems
• Software Engineering
• Theory Of Computation
• Computer Architecture & Microprocessors

Data Techs

Diploma In Data Science

October 2019 - Janurary 2020

Relevant Coursework

• Statistics
• R Language
• Python Programming Language
• Machine Learning
• Deep Learning
• Natural Language Processing
• Computer Vision
• Data Mining

Jet2 Travel Technologies Pvt Ltd (Jet2 PLC)

Pune, Maharashtra

July 2024 - Present

Machine Learning Engineer

• Designed a production GenAI intent classification system with Snowflake Cortex AI and fine-tuned Mixtral 8x7B, processing 2,000+ customer call transcripts/day, reducing manual categorization effort by 80%, improving call routing accuracy, and directly enhancing customer resolution experience.
• Built a real-time multi-label complaint triage system on AWS Bedrock (18 classes) with auto-summarization and a serverless event-driven pipeline using AWS Lambda, SQS, and SNS, reducing manual triaging effort by ~70% and enabling faster complaint resolution, supporting customer retention outcomes.
• Developed a document processing pipeline using FastAPI, OCR, and PDF parsing to automate work-order extraction, reducing processing time from 5–10 hours to under 5 minutes — directly unblocking revenue-critical operational workflows.
• Architected a reusable Amazon SageMaker MLOps framework for near-AutoML training and inference, with automated retraining, cross-account model sharing, and blue-green deployments, reducing ML workflow onboarding time by 50%.
• Built Azure DevOps CI/CD release templates for SageMaker pipeline automation, standardizing deployment across environments and enabling production delivery for 10+ data science projects.
• Standardized dependency management and ensured fully reproducible ML environments by developing custom Docker-based SageMaker container frameworks and storing them in a central ECR registry.
• Developed an internal Python utility library integrating Snowflake, BigQuery, GCS, and AWS services, accelerating DS experimentation cycles by ~40%.

Codiant – A Yash Technologies Company

Indore, Madhya Pradesh

January 2022 - July 2024

Machine Learning Engineer

• Launched a queue-based RAG Q&A pipeline using Azure OpenAI GPT-3.5, Ada embeddings, LangChain, FAISS, and prompt engineering (zero-shot, few-shot) - reducing enterprise document lookup from 5+ days to minutes and accelerating business decision and contract turnaround cycles.
• Developed an end-to-end document detail extraction system using a custom YOLO + OCR + image classification pipeline, achieving 80%+ accuracy; enabled stakeholder validation via a Streamlit app.
• Automated document classification and tagging pipeline using SpaCy NER, Elasticsearch, and a classification ML model, achieving 93% field-level accuracy (detail extraction F1: 0.89, document tagging F1: 0.93).
• Engineered a resume intelligence engine using SpaCy NER/REL deployed on AWS Lambda, auto-processing 1,000+ resumes/month and eliminating manual screening effort for recruiters.
• Built a multimodal recommendation system leveraging pre-trained transformer models to extract embeddings from text, images, video, and audio, using a vector database for scalable similarity retrieval.

Pojo Software Pvt Ltd

Chennai, Tamil Nadu

September 2021 - January 2022

Data Analyst

• Developed and back-tested high-frequency trading algorithms using statistical analysis and mathematical modeling to optimize performance and reduce portfolio volatility.

Machine Learning

Transformers, LLMs, RAG (Retrieval Augmented Generation), Predictive Modeling, Keras, TensorFlow, PyTorch, RASA, XGBoost, CatBoost, LightGBM, Numpy, scikit-learn, Pandas, Matplotlib, Seaborn, Prompt Engineering, Llama Index, Langchain, LangGraph, Faiss, Chroma, Vector Database, Generative AI, Hugging Face, Word Embeddings, spaCy, Ollama, OCR, YOLO, Object Detection

Cloud & MLOps

AWS, Microsoft Azure, GCS, Snowflake, Amazon SageMaker, Azure ML Studio, AWS Bedrock, Azure OpenAI, Snowflake Cortex, Azure DevOps, Docker, MLflow, Terraform, DVC, Kubeflow, CI/CD, Model Monitoring, Model Retraining, Model Deployment

Databases

PostgreSQL, MySQL, MongoDB, Redis, SQLite, Elasticsearch, Faiss, Chroma

Backend & Frontend

FastAPI, Streamlit, Flask, Django, HTML5, CSS

Programming

Python, SQL, C++

Tools

Git, Jupyter Notebook, VS Code, Kiro IDE, Tableau, Dataiku DSS, Postman

Languages

English, Hindi