Pawan Jain Email & Phone Number

Alwar, Rj, In

Gurugram, Haryana, India

- Started working of GenAI products using LLM’s and Node

Noida, Uttar Pradesh, India

- Developed RESTful APIs using FastAPI in Python3 to integrate "SARA Chatbot," a Language Model (LLM) based SaaS product using kubernetes for container orchestration for multiple deployments- Set up Schedulers as microservice (APScheduler) to schedule the background calculated task using REDIS and Celery to fasten up the requests, from 9 to 0.3 second- Scaled the chatbot infrastructure to accommodate 15 different customers by implementing Rest and Celeby + redis architecture, enabling efficient two-way communication and reducing turnaround time by 34%.- Integrated multiple database like MongoDB for storing the conversation amd logs, aws s3 for fetching chatbot knowledge base, redis for session management and conversation state in the chatbot, snowflake for generating insight, leds to uptime of 99.9% with increased 56% in response time- Worked on changing sync to async architecture, worked with multiple libraries like aiobotocore, aioredis, httpx, aiohttp, motor in python FASTAPI, leds to 56% reduction in CPU consumption in peak time- Good understanding of REST APIs, created multiple CRUD operations and experience with AWS with knowledge of S3, EC2, Sagemaker, Cloudwatch, SNS, etc. Tech stacks Python, Postgres, Snowflake, SQL, Kibana, Docker, Git, Nats, FHIR, HL7, MongoDB, Redis, Kafka, Celery, Otel

- Worked with the BI team to increase coverage of ETA for packages and delivering alerts for all major hubs if there is any spike in volume- Created a scoring model for addresses based on validity by using various attributes present in addresses and historic data- Build a pre-junk predictor for addresses based on various recognised patternsTech stacks -Python, Jupyter, MySQL, Sagemaker, RDS, S3, Google Maps API

- Analyzed Fractal employees project allocation data to examine the error in Full-Time Engagement allocation in departments and units- Visualized variable assisting in intelligent allocation by correlating billed and unbilled days, revenue utilization, and organizational units

Bachelor Of Technology, Computer Science, 7.37

Activities and Societies: - Part of Hackathon organizing committee - Member of ML/AI club (conducted 4+ seminars related to it)

Class 12Th, Percentage 90.8%