Default profile banner
BA

Bhoomika Agrahari

@bhoomikaagrahari

Machine Learning Engineer - Generative AI at Suhora Technologies

India

https://www.linkedin.com/in/bhoomika-agrahari-99bb05228

Suhora TechnologiesBabu Banarasi Das University, Lucknow, Uttar Pradesh

AI Engineer and Machine Learning Engineer with 1.5+ years of experience developing and deploying end-to-end AI/ML and Generative AI (GenAI) solutions across multiple domains. Specialized in Retrieval-Augmented Generation (RAG), Agentic Systems, Large Language Models (LLMs), NLP, and model deployment. Proven track record delivering 80% automation improvements and 90% ASR accuracy. Strong focus on scalable system architecture, API integration, CI/CD pipelines, and LLMOps in cloud environments (AWS).

Experience

Machine Learning Engineer - Generative AI

Suhora Technologies

Apr 2025 - Present

Built an AI system for automated intelligence report generation using an LLM-based RAG pipeline; template fields retrieved via RAG and structured data fetched from databases through MCP servers. Developed a voice-based multi-agent AI assistant using OpenAI Agents SDK, RAG, and MCP, reducing analyst query resolution time by 84% across integrated systems. Researched and evaluated agentic orchestration patterns for production-ready architectural improvements.

AI Engineer Intern

VBuild Tech

Nov 2024 - Feb 2025

Built document intelligence systems including a PDF comparison solution using Qwen2.5, reducing manual procurement analysis effort by 80%. Developed end-to-end LLM-based extraction pipelines leveraging vLLM, OCR, and prompt engineering, achieving 93% field-level accuracy. Fine-tuned LLMs and Vision-Language Models (VLMs) for invoice automation. Implemented multimodal POCs including a Tamil speech-to-text (ASR) system on Raspberry Pi.

Data Analyst Intern

Quation Solutions

Feb 2024 - May 2024

Implemented ARIMAX/SARIMAX time-series forecasting models, improving prediction accuracy by 25%. Automated large-scale data extraction pipelines using Selenium. Delivered workforce analytics insights through data-driven modeling, improving resource allocation efficiency by 20%.

Machine Learning Intern

Feynn Labs

Nov 2023 - Jan 2024

Performed EV market segmentation and public sentiment analysis using machine learning models, improving targeting accuracy by 20% and driving a 25% increase in client acquisition.

Education

Babu Banarasi Das University, Lucknow, Uttar Pradesh

Master of Computer Applications

Data Science and Artificial Intelligence

Jan 2022 - Jan 2024Grade: 85.02%

Kamla Nehru Institute of Physical and Social Science (UPRTOU), Sultanpur, Uttar Pradesh

Bachelor of Computer Applications

Jan 2019 - Jan 2022Grade: 71.63%

Licenses & Certifications

Machine Learning with Python

IBM

• No expiration

Introduction to Generative AI and Large Language Models

Google

• No expiration

Generative AI Job Simulation

BCG (Forage)

• No expiration

Data Analytics and Visualization Job Simulation

Accenture North America (Forage)

• No expiration

Data Analysis and Visualization with Power BI

Microsoft

• No expiration

Skills

Python
SQL
RAG
Agentic Systems
MCP
NLP
Prompt Engineering
Fine-Tuning (LoRA, QLoRA)
LLMOps
Decision Trees
XGBoost
Ensemble Models
Linear Regression
GANs
LSTM
Computer Vision
PyTorch
TensorFlow
Transformers
Scikit-learn
Hugging Face
Ollama
vLLM
LangGraph
LangChain
OpenAI Agents SDK
Autogen
NumPy
Pandas
Matplotlib
PostgreSQL (pgvector)
Redis
ChromaDB
FAISS
AWS (EC2, S3)
Docker
Git
CI/CD
FastAPI
Machine Learning Pipelines
Data Engineering
Model Deployment
API Integration
OCR
ASR