AI/ML Engineer - Generative AI & RAG

Yavatmal, India ****** +91-90-111*-**** *************@*****.***

LinkedIn: Https://www.linkedin.com/in/amit-shelke-4690b188 AMIT SHELKE

AI/ML Engineer

Professional summary

AI/ML Engineer with 3.5+ years of experience building scalable AI solutions across healthcare, accounting, and identity verification domains. Expertise in NLP (NER, transformers), Computer Vision (face recognition), and LLM-based applications (RAG, LangChain, OpenAI, Claude). Developed and deployed 6+ production-grade APIs using FastAPI, Docker, and cloud platforms (AWS, Azure), handling real-time data processing and automation. Strong focus on performance optimization, achieving up to 99% accuracy and 60% latency reduction in key systems.

Skills

1. AI/ML : • NLP (SpaCy, NLTK, Transformers (BERT, HuggingFace),

• LLMs (OpenAI, Gemini, Claude,LangChain, RAG),

• DL (ANN,CNN, TensorFlow,Model Training &

Optimization)

• Computer Vision (OpenCV, Face

Recognition, Image Processing),

• ML (Scikit-learn, Supervised & Unsupervised

Algorithms)

• Data Visualization (Matplotlib,

Seaborn)

2. Backend : Python, FastAPI, REST APIs, MongoDB,

Vector Databases, SQL

3. DevOps & Cloud : Docker, Git/GitLab, CI/CD,

AWS, Azure

5. Data Tools: Pandas, NumPy, JSON, Excel

Professional Experience

AI/ML Engineer

Saven Tech – Hyderabad, India

4. Development Practices : Agile Methodology,

Version Control

09/2025 - Current

• Project

• AI-Powered Medical Record Validation System.

• Built AI-powered medical record validation system using Claude LLM and Azure Functions

• Implemented risk classification system (Red/Amber/Green) improving decision accuracy

• Designed scalable backend APIs using FastAPI for healthcare automation

• Optimized data processing and validation pipelines for faster and reliable results

• Collaborated on database migration and system architecture improvements AI/ML Engineer

Hallmark Global Technologies – Hyderabad

10/2023 - 09/2025

• Project 1

• Invoice Processing System (NLP)

• Developed invoice preprocessing system using custom NER models (SpaCy Transformer)

• Improved data extraction accuracy by 90%

• Built REST APIs for real-time processing using FastAPI

• Designed MongoDB aggregation pipelines for optimized querying

• Project 2

• OMR Extraction API using ML.

• Built ML-based OMR processing system handling 500+ sheets/day

• Achieved 98.7% accuracy

• Reduced response time by 65% using OpenCV optimizations

• Project 3

• Model Development and Performance Optimization

• Built domain-specific dataset by aggregating and processing 50K+ records from operational databases

• Designed and implemented data cleaning pipelines, reducing noise by 35% and improving feature quality

• Developed custom Named Entity Recognition (NER) models using SpaCy (CNN + Transformer architecture)

• Improved entity extraction accuracy and consistency for downstream NLP tasks

• Leveraged Python, Pandas, NumPy, and Scikit-learn for data preprocessing and feature engineering

• Project 4

• Face Recognition System

• Designed and deployed real-time face recognition system using InsightFace achieving 99.2% accuracy

• Built scalable API using FastAPI handling multi-user authentication

• Stored and managed 10K+ embeddings using MongoDB and NumPy.

• Reduced false positives by 30% through threshold optimization.

• Containerized using Docker and deployed on AWS

• Project 5

• Healthcare chatbot (LLM)

• Built healthcare chatbot using GPT-4 handling 200+ daily queries

• Integrated OpenAI APIs with FastAPI backend for real-time response generation

• Designed MongoDB schema for scalable healthcare data storage

• Improved response accuracy using prompt engineering techniques

• Project 6

• AI Interview Chatbot

• Built AI interviewer using LangChain and prompt engineering

• Dockerized system for scalable deployment

UI Trainee

Comorin Consulting Services Ind Pvt Ltd – Bengaluru, India UI Trainee

02/2018 - 09/2018

Education

MBA: Business Analytics

Pune University - Pune, MH

2022

Bachelor of Engineering: CSE

Amravati University - Amravati, MH

2017

Languages

English Hindi

Marathi

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