Default profile banner
PP

Panitra Pandey

@Vibs_gremlin

AI Research Engineer at Sayzo.in

Gurugram, Haryana, India

https://linkedin.com/in/panitra-pandey-9926b418b

Sayzo.inDr. APJ Abdul Kalam Technical University

Panitra Pandey is an AI Research Engineer specializing in applied AI systems, NLP-driven automation, and multi-agent architectures. They have extensive experience building production-oriented systems, including real-time fraud detection pipelines, AI-powered coding assistants, and automated documentation tools. Panitra is proficient in deep learning, generative AI, and scalable system design, with a track record of deploying models using FastAPI, Docker, and cloud platforms like AWS and GCP to improve operational efficiency and system reliability.

Experience

AI Research Engineer

Sayzo.in

Oct 2025 - Present

Built SayzoGuard, a multi-layered detection system preventing contact leakage, fraud, and policy violations in real-time communication. Developed LLM-based moderation pipelines with guardrails ensuring safe and deterministic production outputs. Designed multi-agent architectures for trust and safety workflows, improving modularity and traceability. Engineered scalable backend services with real-time inference integration using FastAPI. Implemented non-superficial health monitoring verifying true system dependencies for reliability. Improved detection accuracy and reduced false negatives in high-risk marketplace interactions.

AI Engineer (R&D)

AI Horse

Apr 2024 - Apr 2025

Built an AI-powered coding assistant using NLP for real-time code suggestions and error detection. Developed a task distribution model using LLMs to optimize workload allocation and team efficiency. Enhanced an employee recommendation system by fine-tuning algorithms and integrating new data sources. Automated model deployment with CI/CD pipelines and containerized environments. Collaborated with cross-functional teams to deliver production-ready AI solutions.

AI Engineer

Eudemonics Technologies

Aug 2023 - Dec 2023

Led development of an AI system automating Scope of Work (SOW) document creation using NLP and ML. Designed and trained models to interpret job descriptions and generate accurate SOWs. Integrated feedback loops to continuously improve model accuracy and adaptability. Reduced SOW creation time by 50%, improving efficiency and user satisfaction. Delivered the project end-to-end, from data preparation to deployment.

Education

Dr. APJ Abdul Kalam Technical University

Bachelor of Technology

Mechanical Engineering

Aug 2020 - Jun 2022Grade: 6.8 GPA

Robotics, Cultural and Sports

Skills

Artificial Intelligence
Generative AI
Machine Learning Algorithms
Reinforcement Learning
Deep Learning
Computer Vision
Natural Language Processing (NLP)
Data Analysis
Data Visualization
Exploratory Data Analysis (EDA)
GCP
AWS
Azure
Docker
REST APIs
Flask
Research and Continuous Learning
Project Management
Communication and Presentation
LangGraph
AutoGen
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Transformer Architectures
BERT-based Models
GPT-based Systems
Model Deployment
FastAPI
MLOps Basics
CI/CD for ML
Kubernetes Basics
Microservices Architecture
Data Engineering Basics
ETL Pipelines
SQL
NoSQL Databases
PostgreSQL
MongoDB
Redis
Experiment Tracking
MLflow
Hyperparameter Tuning
Scalable System Design
Distributed Computing Basics
API Integration
System Design
Evaluation Metrics
Precision
Recall
F1 Score