GAURAV MISHRA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Python Engineer with 6+ years in Backend Development & AI Systems
Strategic Backend & AI Engineering Leader with nearly 6 years of experience architecting enterprise-scale platforms across FinTech, legal-tech, ad-tech, and AI-driven SaaS ecosystems, delivering high-performance, cloud-native solutions from concept to production. Recognized for leading complex digital transformation initiatives, including large-scale Java-to-Python migrations, enterprise AI platform development, and mission-critical distributed systems handling real-time, high-volume workloads. Deep expertise in designing scalable backend architectures using Python, FastAPI, Django, Microservices, async-first systems, event-driven patterns, and distributed APIs with strong focus on resilience, observability, and operational excellence. Specialized in Generative AI and Agentic AI ecosystems, with hands-on leadership in building multi-agent orchestration frameworks, advanced RAG pipelines, LLM governance systems, hybrid retrieval architectures, and AI-powered automation platforms using LangGraph, LangChain, OpenAI, Qdrant, and Neo4j. Proven skills to architect intelligent enterprise platforms with AI governance, human-in-the-loop workflows, policy enforcement, provider failover strategies, and real-time streaming interfaces for production-grade AI deployments. Showcased leadership in driving engineering excellence through architectural decision-making, technical mentoring, delivery ownership, cross-functional stakeholder collaboration, and establishment of scalable engineering standards and best practices.
Ambalika Institute of Management and Technology
Bachelor of Technology · Computer Science
January 1, 2009 – January 1, 2013
Systango Technologies Ltd.
Senior Software Engineer
October 1, 2024 – April 1, 2026
Indore, Madhya Pradesh, India
Greymattertech (Upaz)
Python Backend Developer
June 1, 2023 – October 1, 2024
Indore, Madhya Pradesh, India
Mindfire Digital LLP
Python Backend Developer
March 1, 2021 – November 1, 2021
Indore, Madhya Pradesh, India
Simpragma Solutions
Python Backend Developer
September 1, 2018 – February 1, 2020
Bengaluru, Karnataka, India
Agentic RAG Platform - Enterprise Multi-Agent AI Framework
January 1, 2024 – June 1, 2026
Architected and delivered a large-scale enterprise AI orchestration platform built on FastAPI and LangGraph, comprising 570+ Python modules and 50+ REST endpoints for autonomous AI agent workflows. Designed a multi-stage Retrieval-Augmented Generation (RAG) pipeline with hybrid retrieval capabilities combining Vector Search, BM25, and Knowledge Graph querying using Qdrant and Neo4j. Built a resilient multi-provider LLM abstraction layer supporting 9+ AI providers with intelligent fallback routing for improved reliability and cost optimization. Engineered a YAML-driven AI governance and policy framework featuring budget controls, operational kill switches, and human-in-the-loop approval workflows. Developed a modular plugin-based agent ecosystem using PEP 621 entry points and implemented specialized AI agents for HR, meeting intelligence, estimation, resource management, and orchestration workflows. Delivered a real-time React 19 frontend with strongly typed UI components and Server-Sent Events (SSE) streaming for live AI interactions and insights visualization.
Caster - AI-Powered Legal Invoice Extraction Platform (AdvoLogix)
June 1, 2023 – October 1, 2024
Led the development of an AI-powered legal invoice extraction system capable of achieving near-perfect extraction accuracy across invoices from major international law firms. Designed a multi-layer document processing pipeline leveraging PyMuPDF, pdfplumber, Tesseract OCR, and OpenAI Vision models to maximize extraction reliability and processing efficiency. Optimized AI processing workflows by consolidating multiple OpenAI API interactions into a single intelligent extraction request, reducing operational cost and latency. Implemented support for multi-invoice PDF ingestion along with a comprehensive automated testing strategy covering unit, integration, and end-to-end scenarios. Built and deployed a scalable serverless architecture on AWS Lambda using container images with automated CI/CD pipelines through GitHub Actions and Amazon ECR.
Reconome Waste Collection Management Portal
March 1, 2021 – November 1, 2021
Led backend engineering efforts for a waste collection management and customer operations platform, contributing to core platform architecture and delivery. Developed a robust bidirectional integration with Odoo ERP using XML-RPC to synchronize operational entities including companies, users, locations, and collection records. Implemented enterprise-grade authentication and authorization mechanisms including OAuth2, OTP-based two-factor authentication, and workspace-level RBAC controls. Built a collection reporting and validation workflow supporting Excel/CSV ingestion, automated reconciliation against ERP records, and notification workflows via Azure Communication Services. Customized and enhanced the Django administration portal with branded UI components, inline management views, AJAX-driven workflows, and dark mode support for internal operations teams.
Lightbox Market Data Service - Java-to-Python Migration
September 1, 2018 – February 1, 2020
Led the end-to-end modernization of a mission-critical financial market data platform by migrating the backend from Java/Spring Boot to Python/FastAPI while preserving complete feature parity across 86 source files, 30+ REST APIs, and 51 database tables. Designed and implemented an asynchronous, event-driven architecture using FastAPI and PyEE, improving scalability and enabling efficient real-time market data processing. Integrated Refinitiv APIs for live market quotes, historical pricing, and fund data with robust OAuth2 token lifecycle management, circuit-breaker resilience patterns, and DNS health validation. Established a production-grade observability ecosystem using Prometheus metrics, OpenTelemetry tracing with Jaeger, structured JSON logging, and Kubernetes-compatible health monitoring. Developed a layered middleware and security framework covering logging, metrics, rate limiting, CORS, centralized exception handling, and startup configuration validation.
Cultural Fit Analysis
The candidate has worked across diverse domains including FinTech, legal-tech, ad-tech, and waste management, showcasing adaptability and a broad understanding of different business contexts. Their involvement in complex digital transformation initiatives and AI-driven platforms indicates a proactive and innovative mindset. The consistent use of modern Python frameworks and cloud technologies across projects demonstrates a commitment to best practices and continuous learning, which aligns well with a forward-thinking engineering culture. The experience in leading migrations and building robust, scalable systems suggests a strong problem-solving orientation.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in architectural decision-making, technical mentoring, and cross-functional collaboration, indicating strong soft skills for a lead role. Their experience in Agile/Scrum methodologies and TDD suggests a good operational fit for modern development environments. The emphasis on reliability, observability, and engineering standards points to a mature and responsible approach to software development.