Hi, I'm

Bhavya Bansal

Applied AI Engineer ·

Building AI-first intelligent systems, code for good!

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Who I Am

I'm a full-stack engineering leader with 7 years of experience building and scaling products from 0→1. Currently building agentic AI systems — including document processors and Model Context Protocol (MCP) integrations — backed by a deep Node.js/TypeScript, Python, and Go background across microservices, distributed systems, and cloud infrastructure (AWS/Azure/Kubernetes).

I specialize in building production-grade AI systems and scalable backend architectures: from high-concurrency API gateways handling 1M+ daily requests to RAG pipelines, GraphRAG, DSPy prompt optimization, and zero-hallucination evaluation frameworks.

Currently Sr. Software Development Manager at Traversia Technologies. Previously Head of Engineering at Easyres Travel Technologies (scaled platform to 100K+ concurrent users), Lead Developer at Geoinsighter, and Founder of MinedeniM. Education from IIT Delhi (CTO Programme), ISB (Product Management), and Bharati Vidyapeeth (B.Tech CSE).

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7 Years Experience
100K+ Concurrent Users
1M+ Daily Requests Handled
99.9% Uptime Delivered

Work History

Traversia Technologies Pvt. Ltd.

Sr. Software Development Manager

  • Architected Crux layer (Single API interface solution) for Hotel, DMC, and Payment Gateways — a high-concurrency API aggregator integrating 50+ major providers handling 1M+ daily requests at 99.9% system uptime.
  • Design and deploy advanced AI search capabilities utilizing Hybrid Search and RAG pipelines, reducing contextual data retrieval latency to sub-200ms for partner enterprise platforms.
  • Orchestrate engineering roadmap for cross-functional travel verticals, elevating CI/CD pipeline governance and automated testing standards to reduce critical production bugs by 25%.
  • Partner directly with B2B enterprise clients to validate market requirements and translate operational pain points into scalable technical architectures, accelerating client onboarding by 40%.
Crux API Agentic AI RAG Pipelines Go Node.js / TS AWS / Kubernetes
Easyres Travel Technologies

Head of Engineering

  • Spearheaded zero-to-one engineering of a comprehensive B2B/B2C holiday package platform, scaling the architecture to support 100K+ concurrent users with zero degradation.
  • Reduced client infrastructure costs by 50% through strategic cloud resource optimization (AWS/Azure) and aggressive refactoring of legacy data ingestion pipelines.
  • Defined product roadmaps for Hotels and Holidays verticals, utilizing iterative prototyping to validate backend schema and API designs directly with key stakeholders.
  • Instilled rigorous engineering best practices and agile methodologies across the organization, mentoring teams to accelerate sprint delivery velocity by 30%.
Node.js TypeScript AWS Azure Agile Leadership
Easyres Travel Technologies

Lead Developer (Frontend)

  • Led the development of optimized MEAN stack frontend applications, utilizing rapid UI/UX prototyping to iterate on B2B client feedback, ultimately reducing page load times by 30%.
MEAN Stack Angular JavaScript UI/UX Prototyping
Geoinsighter

Lead Software Developer

  • Engineered a high-throughput GIS data pipeline capable of ingesting 2,000+ high-resolution images per batch, distributing compute resources to rapidly deliver 3D terrain models.
  • Designed a distributed batch processing architecture to handle 500+ concurrent mapping requests, ensuring 99.9% uptime for seamless data delivery.
Python GIS Pipelines Distributed Systems Batch Processing
Geoinsighter

Software Development Engineer (SDE)

  • Developed "Geo Mapper," a GIS data visualization platform enabling real-time rendering of complex orthophotos by integrating live video feeds with the Google Maps API.
JavaScript Google Maps API GIS Data Visualization
MinedeniM

Founder

  • Owned end-to-end product lifecycle for a tech venture, from initial market validation and prototype iteration to full-stack execution, successfully acquiring initial beta users.
Product Management Full-Stack Development 0→1 Product

Selected Work

Featured
GitHub

Architected an autonomous travel agent integrating with the Crux API aggregator, enabling multi-step reasoning for real-time hotel discovery, price comparison, and itinerary generation. Built a custom Model Context Protocol (MCP) server exposing live B2B travel APIs to local LLMs, securely bridging private high-concurrency infrastructure with advanced reasoning models.

Agentic AI MCP Server LangChain Python Go pgvector

Adaptive Exam Engine & AI Grader

Engineered a mock-ETS adaptive testing platform using GraphRAG to map quantitative syllabus dependencies for targeted remediation. Compiled a mathematically optimized Analytical Writing Assessment (AWA) grader using DSPy, aligning LLM output with strict 6-point scoring rubrics via automated prompt induction.

DSPy GraphRAG vLLM Node.js

LLM Evaluation & Factuality Pipeline

Designed a CI/CD-integrated evaluation framework to regression-test document processing agents against complex, unstructured domain datasets (e.g., 50-page vendor contracts). Enforced zero-hallucination deployments by measuring Context Precision and Faithfulness, configuring automated workflow triggers to block PRs that degrade agent reliability.

PromptFoo RAGAS GitHub Actions Evals

Crux API Layer (50+ Provider Aggregator)

High-concurrency API aggregator for Hotels, DMCs, and Payment Gateways integrating 50+ major travel providers. Seamlessly handles 1M+ daily requests with sub-200ms hybrid search & RAG retrieval latency at 99.9% uptime.

Go Node.js Hybrid Search AWS Microservices
View all projects on GitHub →

Skills & Tools

AI & Agentic Engineering

  • Agentic AI Workflows & MCP
  • GraphRAG & RAG Pipelines
  • LLMs (Claude, GPT-4, Gemini, Bedrock)
  • DSPy Prompt Optimization
  • vLLM & LlamaIndex & LangChain
  • Evals (PromptFoo, RAGAS)

Backend & Microservices

  • Node.js / Express & TypeScript
  • Go (Golang) & Python
  • Java & SQL
  • High-Concurrency API Gateways
  • Distributed Batch Processing

Cloud & Infrastructure

  • AWS (EC2, Lambda, S3, Bedrock)
  • Azure Cloud
  • Docker & Kubernetes
  • CI/CD & Automated Testing
  • Least-Privilege Security & IAM

Databases & Vector Storage

  • PostgreSQL / pgvector
  • MongoDB & Document Store
  • Hybrid Search & Indexing
  • GIS Data Pipelines

Frontend & Prototyping

  • React & Vercel AI SDK
  • Angular & MEAN Stack
  • TypeScript & Modern JS
  • Rapid UI/UX Prototyping

Core Leadership

  • Technical Product Management
  • High/Low-Level System Design
  • Cross-functional Leadership
  • Agile & Sprint Velocity

Education & Credentials

Executive Apr 2024 — Jan 2025

Chief Technology Officer Programme

Indian Institute of Technology Delhi (IIT-D)

Executive tech leadership, enterprise architecture strategy, system design at scale, and CTO governance.

Executive Jun 2023 — Aug 2023

Executive Programme in Product Management

Indian School of Business (ISB)

Product strategy, roadmap prioritization, market validation, and data-driven product analytics.

Degree 2017 — 2021

B.Tech in Computer Science & Engineering

Bharati Vidyapeeth College of Engineering, New Delhi

Core Computer Science, Distributed Systems, Software Architecture, and Data Structures.

Achievements & Mentorship

🥇
Hackathon Winner

1st Position — Munjal University Hackathon

Secured 1st position for rapid prototyping, system architecture design, and innovative engineering problem solving.

💡
Technical Mentorship

Invited Mentor — HackBVP 2023

Invited mentor at Bharati Vidyapeeth's flagship hackathon, guiding student teams on scalable system design, API contracts, and agile methodologies.

Get in Touch

I'm open to full-time roles, consulting projects, and technical conversations. If you're working on something interesting in the AI space, I'd love to hear about it.

bhavya.bansal1998@gmail.com linkedin.com/in/ibhavyabansal
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