---
title: "Akanksha Kulkarni - Software Engineer 2 in Pune District | Tal"
description: "Meet Akanksha Kulkarni, Software Engineer 2 @Dell | Generative AI Engineer | Full Stack Developer | Python | Angular | .NET | Azure OpenAI | LangChain | RAG | Agentic AI | FastAPI based in Pune District."
image: "https://tal.club/meet/akanksha-33/share-image"
---

# Akanksha Kulkarni on Tal

## Headline

Software Engineer 2 @Dell \| Generative AI Engineer \| Full Stack Developer \| Python \| Angular \| \.NET \| Azure OpenAI \| LangChain \| RAG \| Agentic AI \| FastAPI

## About

🚀 Software Engineer II \| GenAI Engineer \| Full Stack Developer passionate about building enterprise\-scale AI applications, intelligent automation platforms, and high\-performance full\-stack solutions\. I am a Software Engineer with 3\+ years of experience at Dell Technologies delivering Generative AI applications, Full Stack platforms, CI/CD automation solutions, and enterprise workflow systems\. My expertise spans Python, Angular, \.NET, Azure OpenAI, LangChain, FastAPI, RAG Pipelines, Agentic AI, REST APIs, Splunk, Grafana, and Cloud Technologies\. 💡 What I build: • Enterprise GenAI chatbots using Azure OpenAI, LangChain, RAG, and Agentic AI • Full\-stack applications using Angular, \.NET, Python, FastAPI, and REST APIs • CI/CD automation platforms improving deployment velocity and release reliability • Intelligent workflow automation solutions reducing manual effort and operational costs 📌 Highlights: ✔ Reduced enterprise workflow resolution time by 42% using GenAI chatbots and Retrieval\-Augmented Generation \(RAG\) pipelines ✔ Built agentic AI workflows reducing manual intervention by 35% across supply\-chain operations ✔ Compressed deployment cycles by 40% through CI/CD automation across Dev, SIT, and Production environments ✔ Improved MTTR by 28% through Splunk\-powered monitoring dashboards and operational observability solutions ✔ Delivered 12\+ production\-ready modules across enterprise business systems using Angular, \.NET, and REST APIs ✔ Automated 60% of routine support queries through AI chatbot implementation, reducing monthly ticket volume by 30% ✔ Achieved 85%\+ Salesforce Apex test coverage while resolving security vulnerabilities and improving application quality ✔ Recipient of 8 Dell Inspire Awards and author of a Springer Scopus\-indexed research publication Tech Stack: Python \| Angular \| \.NET \| FastAPI \| LangChain \| Azure OpenAI \| RAG \| Agentic AI \| REST APIs \| Splunk \| Grafana \| Azure \| AWS \| CI/CD \| Selenium I’m actively seeking opportunities in Generative AI Engineering, Full Stack Development, AI Platform Engineering, Software Engineering, Intelligent Automation, and Product Development where I can build scalable AI\-powered solutions with measurable business impact\.

## Location

Pune District

## Work experience

Software Engineer 2 at Dell Technologies, Feb 2025 \- Present · 1 yr 5 mos, Software Engineer II \| Dell Technologies \| GenAI \| Python \| LangChain \| Azure OpenAI • Developed enterprise Generative AI solutions using Python, LangChain, Azure OpenAI, FastAPI, and Retrieval\-Augmented Generation \(RAG\) frameworks to automate business workflows and improve operational efficiency\. • Engineered an AI\-powered chatbot leveraging RAG pipelines, vector search, prompt engineering, and LLMs, reducing average resolution time by 42% across 3 product teams\. • Architected agentic AI workflows for intelligent task routing and automated execution, reducing manual intervention by 35% across supply\-chain operations\. • Built scalable backend services supporting conversational AI, knowledge retrieval, workflow automation, and enterprise process orchestration\. • Integrated enterprise knowledge sources with RAG pipelines to improve response accuracy, contextual relevance, and information accessibility\. • Automated CI/CD pipelines across Development, SIT, and Production environments for PCF and KOB platforms, reducing deployment cycles by 40%\. • Standardized release\-management and deployment workflows, improving software delivery speed and operational consistency\. • Developed Splunk dashboards for 3 production applications, enabling proactive monitoring, log analysis, and root\-cause investigation\. • Improved Mean Time to Resolution \(MTTR\) by 28% through enhanced observability, alerting, and production\-support processes\. • Integrated Angular frontend modules with \.NET REST APIs and validation frameworks, improving application reliability by 22% across 2 enterprise platforms\. • Collaborated with architects, product managers, DevOps engineers, and business stakeholders to deliver scalable AI\-powered enterprise solutions\. • Applied Python, LangChain, Azure OpenAI, RAG, Agentic AI, Angular, \.NET, FastAPI, REST APIs, Splunk, CI/CD, NLP, Prompt Engineering, and Software Engineering best practices to build enterprise AI platforms\.

Software Engineer 1 at Dell Technologies, Aug 2023 \- Jan 2025 · 1 yr 6 mos, Software Engineer I \| Dell Technologies \| Angular \| \.NET \| Full Stack Development • Developed and delivered 12\+ production\-ready full\-stack modules using Angular, \.NET, REST APIs, and Oracle SQL across 2 enterprise business platforms\. • Engineered scalable frontend and backend features supporting workflow automation, system integration, and business process optimization\. • Built responsive Angular interfaces and integrated them with \.NET backend services, improving application usability, reliability, and maintainability\. • Developed RESTful APIs and business logic components enabling secure communication between enterprise applications and data systems\. • Launched an AI\-powered chatbot automating internal workflows, handling 60% of routine support requests and reducing monthly ticket volume by 30%\. • Integrated AI\-driven self\-service capabilities to improve operational efficiency and employee productivity\. • Designed Grafana dashboards for monitoring 4 microservices, improving observability, operational insights, and performance tracking\. • Enabled real\-time monitoring and system\-health visibility for 3 cross\-functional engineering teams\. • Streamlined supply\-chain automation through platform enhancements and workflow optimization, reducing manual processing effort by 30% across 3 interconnected systems\. • Collaborated with product owners, architects, QA teams, and stakeholders to deliver scalable and production\-ready enterprise solutions\. • Conducted testing, debugging, performance optimization, and production support to improve software quality and platform stability\. • Applied Angular, \.NET, REST APIs, Oracle SQL, Grafana, AI, Full Stack Development, Agile, and Software Engineering best practices to build scalable enterprise applications\.

Undergraduate Intern at Dell Technologies, Jun 2022 \- Aug 2022 · 3 mos, Software Engineer Intern \| Dell Technologies \| Java \| Selenium \| Salesforce • Developed and maintained Selenium\-based automation frameworks using Java, improving software testing efficiency and reducing manual validation effort across enterprise applications\. • Automated 200\+ functional, regression, and integration test cases spanning 3 application modules, increasing test coverage and accelerating release cycles\. • Designed reusable test scripts, validation workflows, and automation utilities to improve testing consistency and maintainability\. • Reduced manual testing effort by 50% through automation of repetitive quality\-assurance processes and execution workflows\. • Refactored Salesforce Apex test classes across 20\+ components, improving code quality, maintainability, and platform stability\. • Achieved 85%\+ Apex code coverage, ensuring compliance with Salesforce deployment standards and release requirements\. • Conducted code reviews, debugging, and defect analysis to identify quality issues and improve application reliability\. • Resolved 4 security vulnerabilities identified through Checkmarx scans, strengthening application security and compliance posture\. • Collaborated with developers, QA engineers, and business teams to validate requirements, improve test strategies, and ensure successful software releases\. • Participated in Agile development activities including sprint planning, testing, defect tracking, and release validation\. • Applied Java, Selenium, Salesforce Apex, Test Automation, Quality Assurance, Security Testing, Checkmarx, SDLC, Agile Methodology, and Software Engineering best practices to deliver reliable enterprise applications\.

## Education

Bachelor of Technology \- BTech, Computer Science, Mksss Cummins College of Engineering for Women

[View the original profile](https://tal.club/meet/akanksha-33)

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