Senior Python Backend & GenAI Engineer

SARTHAKI BALASAHEB PATIL

Pune, Maharashtra +91-826******* ********.********@*****.*** www.linkedin.com/in/sarthaki-patil SUMMARY

Python Backend Engineer with 4+ years of experience designing and developing scalable backend systems, REST APIs, and AI-powered applications using Python, FastAPI, Django, PostgreSQL, and SQLAlchemy. Experienced in building microservices, asynchronous processing systems, secure authentication & authorization solutions, database optimization, and enterprise-grade backend architectures. Hands-on experience developing GenAI applications using LLMs, RAG, LangGraph, MCP, OpenAI APIs, prompt engineering, AI-powered recommendation systems, and conversational AI workflows. Proven track record of delivering high-performance applications, improving system reliability, reducing CI/CD testing costs, and supporting enterprise-scale automation workflows.

TECHNICAL SKILLS

Languages : Python, SQL, HTML

Backend Technologies : FastAPI, Django, Flask, Django REST Framework

Databases : PostgreSQL, MySQL

ORMs & Validation : SQLAlchemy, Pydantic, Django ORM, Alembic

Cloud & DevOps : AWS, Git, Bitbucket, Jenkins, CI/CD

Architecture & Design : Microservices, REST APIs, AsyncIO, JWT Authentication, RBAC

GenAI & AI : OpenAI APIs, RAG, LangGraph, MCP, AI-Powered Recommendation Systems, Agentic AI Workflows, LLM Integration

Testing & Documentation : Pytest, Unittest, Postman, Swagger

Project Management : Jira

EXPERIENCE

Senior Development Engineer Apr 2023 – Present

Calsoft, Pune

Project 1: CalTIA – AI-Powered Test Intelligence & Analytics Platform Technologies: Python, FastAPI, PostgreSQL, SQLAlchemy, GenAI, LLMs, LangGraph, MCP, APScheduler, Pytest Description:

CalTIA is an AI-powered test intelligence platform that analyzes commit-level source code changes to intelligently recommend high-impact test cases, reducing test execution time and CI/CD costs while preserving full coverage. Extended with GenAI capabilities, the platform automatically detects coverage gaps post- recommendation and generates contextually relevant test cases — minimizing manual authoring effort and strengthening overall software quality.

Roles & Responsibilities:

Developed and maintained scalable backend applications using FastAPI, improving system performance and API response times.

Designed and implemented a clean Router-Service-Repository architecture, enhancing code maintainability and scalability.

Built background processing workflows using AsyncIO, Multiprocessing, and APScheduler for data processing and model execution.

Developed AI-powered services to analyze code changes and recommend impacted test cases for enterprise applications.

Implemented GenAI-based solutions using LLMs and RAG to automate test gap analysis and test case generation.

Designed and optimized PostgreSQL databases using SQLAlchemy, improving data access efficiency and application performance.

Developed secure authentication and authorization systems using JWT and Role-Based Access Control (RBAC).

Built conversational AI and recommendation features using LangGraph and MCP to provide intelligent insights and user interactions.

Created comprehensive unit and integration tests using Pytest, ensuring application reliability and maintaining high test coverage.

Project 2: AI Log Analyst

Technologies: Python, FastAPI, PostgreSQL, SQLAlchemy, OpenAI APIs, React, Pytest Description:

AI Log Analyst is a platform that automates log analysis and error categorization across Linux and Windows systems. It uses LLMs to identify root causes and generate actionable insights, helping DevOps and QA teams diagnose and resolve incidents faster through natural-language interaction with system logs. Roles & Responsibilities:

Developed asynchronous backend services using Python and FastAPI for log processing and AI-driven analysis.

Built scalable REST APIs for log upload, processing, error categorization, and AI-powered diagnostics.

Developed a log analysis engine to process Linux and Windows system logs and identify root causes.

Designed normalized PostgreSQL schemas and optimized SQLAlchemy-based persistence layers for high- volume log storage and retrieval.

Implemented modular service architecture with centralized exception handling, validation, and automated testing frameworks.

Integrated OpenAI APIs to enable AI-powered troubleshooting and intelligent error analysis.

Developed LLM-based conversational interfaces for natural language investigation of production incidents. Software Engineer Apr 2022 –Apr 2023

ASCENT IT SYSTEMS LLP, Pune

Project 3: Pet Care System – E-Commerce & Services Platform Technologies: Python, Django, DjangoRest Framework, MySQL, REST APIs, HTML, CSS, Bootstrap Postman Description:

Pet Care System project is designed for Pet care and services. It has different accessories, Foods, medication products and other services like grooming, washing, veterinary services, pet Training, pet care etc. which are required for pets. New Customers can register on portal for services. To avail products like foods, costumes, other Services online for particular pet, customer can put orders. Roles & Responsibilities:

Developed and maintained backend applications using Python, Django, and Django REST Framework

(DRF) for product management, order processing, user accounts, and customer services.

Designed and implemented RESTful APIs using DRF, enabling seamless integration between frontend applications and third-party services.

Developed and optimized Django ORM models and PostgreSQL database schemas for products, inventory, customers, orders, and business workflows.

Implemented Authentication, Authorization, and custom Middleware for secure access control.

Integrated third-party payment gateways and external APIs to support secure online transactions and order fulfillment processes.

Performed debugging, issue resolution, and performance optimization to improve application stability, reliability, and user experience.

KEY ACHIEVEMENTS

Co-Inventor of a patent-pending AI-powered Test Impact Analysis platform (CalTIA) focused on intelligent test recommendation, test optimization, and automated test generation.

Developed AI-powered Test Impact Analysis platform reducing regression test execution effort by up to 90%.

Built GenAI-powered test case generation and coverage gap analysis workflows using LLMs, RAG, LangGraph, and MCP.

Designed scalable FastAPI backend services supporting enterprise CI/CD and quality engineering workflows.

Developed AI-driven log analysis solutions enabling faster root-cause identification and incident troubleshooting.

EDUCATION

Shivaji University

Bachelor of Engineering (Electronics & Telecommunication) 2012- 2015 CGPA/Percentage: 66.67%

ADDITIONAL INFORMATION

Languages: English, Hindi, Marathi

Passport: Available

(Sarthaki Balasaheb Patil)

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