Narendra G.

AI Researcher

India2 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced financial reporting time from 2 days to 7 minutes.
Designed a Natural Language Query Generator for SQL.
Expert in Generative AI and Agentic AI systems.

Stackforce AI infers this person is a Fintech and SaaS expert with a focus on AI-driven solutions.

Contact

Skills

Core Skills

FastapiPythonData StructuresGenerative Ai

Other Skills

Python (Programming Language)CeleryRedisLangGraphLLMProblem SolvingSQLPySparkPrompt EngineeringAmazon DynamodbMCPAgentic AI DevelopmentAmazon Relational Database Service (RDS)AWS LambdaAnthropic Claude

About

Hi, I'm Narendra 👋, ✅ A passionate researcher and AI Engineer, I focus on developing production-grade Generative AI applications. ✅ I've successfully designed and deployed complex AI systems, including a Natural Language Query Generator, Credit Loan underwriting, and a Multiple RAG Chatbots. ✅ I am deeply invested in the latest advancements in Agentic AI and continuously seek to build systems that are not just intelligent, but impactful. ✅ My strong foundation in Python, Langchain, LangGraph, Backend (FastAPI), RAG, Agentic AI, Prompt Engineering, LLM(Gemini , Gemma 3 27B), Machine Learning, and cloud platforms (AWS, GCP) fuel my continuous learning and exploration in this rapidly evolving field. Thank You for taking time to read about me.

Experience

2 yrs 4 mos

Total Experience

1 yr

Average Tenure

3 mos

Current Experience

Oracle

AI Engineer - II

Feb 2026 – Present · 3 mos · Hyderabad, Telangana, India · On-site

FastAPIPython (Programming Language)Python

Icici bank

AI Engineer

Apr 2025 – Feb 2026 · 10 mos · Hyderabad, Telangana, India · On-site

Credit Appraisal Memo
Achievement: Reduced a 2-day manual financial reporting process for the Business Banking Group (BBG) to under 7 minutes by designing a full-stack automated pipeline.
Actively led the end-to-end system design and implementation of the entire automation workflow, from ingestion to report generation.
Built a scalable, asynchronous API with FastAPI to handle uploads of financial Excel sheets (Bureau, Banking, GST and Finance).
Developed a preprocessing module to convert varied Excel data into a unified JSON format for LLM ingestion.
Utilized Celery and Redis to offload long running analysis tasks involving multiple chained calls to the Gemma 27b LLM to background workers.
Designed a final service to aggregate all LLM generated insights into a single, formatted report.

Data StructuresFastAPI

Incedo inc.

AI & Data Engineer

Jan 2024 – Apr 2025 · 1 yr 3 mos · Hyderabad, Telangana, India · On-site

AI Engineer
AutoBI - Verizon Client | FastAPI, SQLModels, Postgres , Langchain, Redis, LLM, Gitlab, Docker, BigQuery, LangGraph
Designed and implemented a Natural Language Query Generator from scratch, utilizing LangGraph to define and orchestrate the workflow of an Agentic AI system and FastAPI for API interaction.
Implemented a multi-stage pipeline using LangGraph comprising Intent Agent, Domain Agent, Datasource Agent, Column Agent data retrieval, LLM interaction, and query refinement using Gemini AI (gemini-1.5-pro & gemini-1.5-flash-002).
Leveraged a Retrieval Augmented Generation (RAG) architecture, incorporating relevant context from a knowledge base of SQL samples and schema information.
Implemented an LLM-powered metadata extraction module to automate the process of extracting schema information, datatypes, description, relevant metadata from diverse data sources and domain definitions, enhancing the system’s adaptability and scalability.
Contributed to the backend development, Built a robust data source onboarding process, integrating 3 major data sources (PostgreSQL, MySQL, and BigQuery).
Developed a secure API key-based access mechanism, leveraging Redis server-side caching to query specific domains using natural language translated into SQL statements, ensuring efficient authentication and data retrieval.
Data Engineer - AWS
Data Pipeline || Python, SQL, PySpark, Neo4J, HDFS, Hive, MapReduce, AWS, GCP
Gained hands-on experience addressing data challenges in a manufacturing environment, including data availability, scalability, and performance bottlenecks.
Successfully analyzed business requirements during a data platform modernization project, identifying critical pain points and opportunities for data-driven insights.
Collaborated on designing a cloud-based data architecture and reporting solution using AWS. Developed expertise in big data technologies, successfully addressing scalability challenges in the project.