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Rupali MishraRM

Rupali Mishra

Backend & AI Engineer

€215/day
Gurugram, IN
8-15 years

Average response time: 1 hour

About Rupali

I’m a Backend Developer and Automation Specialist focused on building scalable systems that simplify and optimize business operations.

I design and develop robust backend solutions using Python, FastAPI, and modern architectures, while also identifying opportunities to automate repetitive workflows and improve efficiency. Instead of offering one-size-fits-all tools, I start by understanding your processes, auditing bottlenecks, and then delivering tailored solutions that save time and reduce costs.

From API development and system integrations to workflow automation across sales, operations, and customer management, I help businesses run smoother and scale faster.

If you’re looking to replace manual work with smart, reliable systems—let’s connect.
  • English

    Native or bilingual

  • Hindi

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Finjo (AI Recruitment Platform)
    Senior Software Engineer
    January 2023 - Today (3 years and 5 months)
    • • Building a production RAG pipeline for intelligent candidate–job matching using OpenAI embeddings + pgvector (PostgreSQL vector extension) served via Postgraphile GraphQL — reduced irrelevant shortlisting by ~40%.
    • • Designed vector search architecture — evaluated pgvector vs Pinecone vs Weaviate; implemented hybrid semantic + keyword search to handle edge cases where pure embedding similarity fell short.
    • • Architected fully serverless backend on AWS Lambda + API Gateway + SES; optimised cold-start latency to under 800 ms through careful function decomposition and payload tuning.
    • • Automated end-to-end candidate communication workflows (outreach, scheduling, status updates), eliminating ~15 hours/week of manual recruiter effort per client.
    • • Implemented security controls: JWT auth, PostgreSQL row-level security, AWS Secrets Manager — passed first external security audit with zero critical findings.
    • • Owned infra observability via CloudWatch dashboards + custom alerting; reduced MTTD on production incidents from hours to under 10 minutes.
    • • Stack: Python
    ◦ · PostgreSQL
    ◦ · pgvector
    ◦ · LangChain
    ◦ · OpenAI API
    ◦ · Postgraphile
    ◦ · GraphQL
    ◦ · AWS Lambda/SES/API Gateway
    ◦ · Docker
  • Stealth Startup
    Backend & AI Integration Engineer
    March 2026 - Today (3 months)
    • • Design and deploy multi-agent systems using LangChain + LangGraph — agents handle decision branching, tool use (web search, DB queries, API calls), and handoff logic between sub-agents.
    • • Conduct workflow audits for enterprise clients: ingest SOPs, meeting transcripts, and process docs through an LLM pipeline to surface bottlenecks — clients report 30–50% reduction in operational review time.
    • • Architected a three-layer agent memory system: short-term (in-context), episodic (vector store retrieval via pgvector), and structured (PostgreSQL) — enabling persistent cross-session context.
    • • Evaluated multiple LLM providers (GPT-4o, Claude 3.5, Mistral via Ollama) for optimal cost/latency/accuracy trade-offs per task criticality.
    • • Stack: Python
    ◦ · LangChain
    ◦ · LangGraph
    ◦ · OpenAI API
    ◦ · Anthropic API
    ◦ · pgvector
    ◦ · FastAPI
    ◦ · Docker
  • Nutanix Technologies (BEAM SaaS)
    Member of Technical Staff
    April 2018 - April 2021 (3 years)
    Bengaluru, Karnataka, India
    • • Built and maintained microservices for cloud cost analysis across AWS, Azure, and GCP — services processed millions of cost-data events per day at peak load.
    • • Owned Chargeback feature end-to-end: data model, REST APIs, frontend collaboration — shipped to 50+ enterprise customers, enabling cost breakdown by cost center / team / project.
    • • Reduced RDS query costs by ~25% via slow-query analysis, targeted indexing, N+1 ORM refactoring, and moving heavy aggregations to off-peak scheduled jobs.
    • • Improved observability with structured logging pipelines and custom monitoring — on-call escalation frequency dropped measurably quarter over quarter.
    • • Stack: Java
    ◦ · Python
    ◦ · PostgreSQL
    ◦ · REST APIs
    ◦ · AWS (RDS, EC2, S3)
    ◦ · Microservices

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Education

  • eMasters in Cybersecurity
    IIT Kanpur
    2026
    eMasters in Cybersecurity
  • B.Tech in Information Technology
    Vellore Institute of Technology
    2018
    B.Tech in Information Technology

Skill set

Categories