Kriti Gupta
Backend & AI Engineer @ Coditation | Python | Flask | GenAI | FastAPI | VIT, Vellore
India
5+ years of work experience
Jul 20251 yr 2 mosPresent
- Built and deployed a scalable Agentic AI incident management platform using Python and FastAPI, automating alert triage, incident routing, root-cause analysis, remediation workflows and supporting human-in-the-loop feedback.
- Designed and implemented a hybrid RAG architecture using PostgreSQL (pgvector + tsvector), embeddings, semantic search, Reciprocal Rank Fusion (RRF), and MMR-based retrieval strategies for high-quality context retrieval.
- Developed multiple LLM-powered agents for incident classification, routing, severity prediction, and resolution recommendations with confidence scoring and auditability.
- Implemented production-grade LLM observability using LangSmith, enabling tracing, prompt versioning, A/B testing, token monitoring, and cost tracking.
- Reduced AWS infrastructure costs by 30% through automated lifecycle management of ECS services, RDS databases, and EC2 instances using EventBridge and Lambda.
- Designed and implemented a centralized context management service to efficiently share and reuse contextual information across multiple AI agents.
- Familiar with Docker, RabbitMQ, AWS (ECS, EC2, VPC, RDS) through project deployments and infrastructure discussions.
Jul 20241 yr 1 moJul 2025
- Developed a GenAI-powered Text-to-SQL-to-Text agent using LangChain and function calling tools to query databases using natural language with support for multiple LLMs like OpenAI models and Snowflake Cortex enabling Business Analysts and Data Analysts to save time by 70%.
- Implemented RAG pipeline to dynamically fetch context.
- Designed reusable prompt templates, structured outputs, and prompt optimization strategies to improve accuracy, consistency, and reliability of LLM responses.
- Built a benchmarking and evaluation framework using Bert’s score to assess model performance and improve reliability.
- Owned end-to-end delivery of backend modules from design and implementation.
- Developed and debugged APIs using Python and Flask for data processing and customer churn prediction within a microservices architecture.
- Utilised SQL, ORMs, and managed PostgreSQL and Snowflake databases for data analysis and management.
Dec 20238 mosJul 2024
Remote
- Developed end to end backend for new features, using Node.js, MongoDB, and Redis for caching and high-performance data access. Created database schemas, wrote CRUD APIs, and integrated RSS feeds to aggregate alerts and deliver them to the Status Page subscribers.
- Developed and executed 100+ complex MongoDB queries to extract actionable insight from 10 million+ documents to drive business decisions.
- Created 50+ data visualisations table, charts across 10 dashboards using MongoDB and Retool for business metrics resulting in saving team’s time by 60%.
- Worked on Status Pages to add UI/UX and frontend pages to support incident history, widgets and subscriber pages.
Jul 20236 mosDec 2023
remote
Built RESTful APIs (Node.js, Express, MongoDB) with JWT auth, RBAC, and validation/error-handling middleware, and designed schemas/indexes/aggregation pipelines that improved query performance ~30% on high-traffic paths.
Nov 20202 mosDec 2020
On-site
Worked as a quality control intern in BEC foods Ltd (Amul). My responsibilities included ensuring
the raw milk is free from contaminants and the final product matches the set quality.
Jan 20201 yr 11 mosNov 2021
Part of research group. Annually held international synthetic biology competition at MIT, Boston
Kriti’s AI Stack
Education
Bachelor of Technology - BTech
Vellore Institute of Technology
20184 yrs2022
Higher Secondary Education, PCMB
Delhi Public School Bhilai
20152 yrs2017
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