Aaditi Maindarkar — Software Engineer

Hi, I'm passionate about building intelligent systems that transform how organizations work with data and AI. I have a deep-seated passion for data and tech with a strong belief that data is the new gold. My work spans across machine learning, data engineering, and enterprise solutions—creating systems that automate complex workflows and deliver measurable business impact. At Google, I architect solutions that bridge AI capabilities with real-world applications. I work extensively with generative AI technologies, data pipelines, and enterprise platforms to build systems that process large-scale datasets and generate actionable insights. My projects range from developing intelligent automation tools that reduce manual work by 40% to engineering comprehensive data validation systems achieving 95% reliability across financial document processing. My technical expertise includes Python, SQL, and the Google ecosystem (BigQuery, GCP, Gemini Enterprise), along with strong foundations in computer vision, NLP, and machine learning. Previously at Siemens, I developed classification models that improved inspection accuracy by 25% and built real-time data systems that reduced query latency by 40%. I thrive at the intersection of data science, AI, and software engineering—whether it's building automated intelligence systems, designing PowerBI dashboards for strategic insights, or demonstrating cutting-edge AI technologies to industry leaders. My approach combines technical depth with practical problem-solving to create solutions that drive tangible results. Continuously exploring the evolving landscape of AI, machine learning, and data-driven innovation. Always eager to collaborate on projects that leverage technology to solve meaningful challenges and create impact. Data is my playground, algorithms are my tools, and insights are the art I create from the chaos.

Stackforce AI infers this person is a Data Science and AI Solutions Architect with a focus on enterprise applications.

Location: Mumbai, Maharashtra, India

Experience: 1 yr

Skills

Machine Learning
Architectural Design
Data Analysis
Data Visualization

Career Highlights

Built intelligent systems reducing manual work by 40%.
Achieved 95% reliability in financial document processing.
Improved inspection accuracy by 25% at Siemens.

Work Experience

Google

Software Application Developer (1 yr)

Siemens

Data Science Intern (6 mos)

Trainity

Data Analyst (2 mos)

Education

Bachelor of Technology - BTech at Deogiri Institute of Engineering and Management Studies, Aurangabad

Aaditi Maindarkar

Software Engineer

Mumbai, Maharashtra, India1 yr experience

AI EnabledAI ML Practitioner

Key Highlights

Built intelligent systems reducing manual work by 40%.
Achieved 95% reliability in financial document processing.
Improved inspection accuracy by 25% at Siemens.

Stackforce AI infers this person is a Data Science and AI Solutions Architect with a focus on enterprise applications.

Contact

Skills

Core Skills

Machine LearningArchitectural DesignData AnalysisData Visualization

Other Skills

Prompt EngineeringSQLGenerative AISoftware DevelopmentOrchestrationBigqueryNatural Language Processing (NLP)Deep LearningLarge Language Models (LLM)Artificial Intelligence (AI)Agentic AIQualitative AnalysisStatistical Data AnalysisEDAData Analytics

About

Experience

Google

Software Application Developer

Apr 2025 – Apr 2026 · 1 yr · Mumbai, Maharashtra, India · On-site

Working on high-impact projects that bridge AI, automation, and enterprise solutions. Currently building intelligent systems that streamline operations and drive business outcomes across regions.
My work involves architecting scalable solutions, integrating APIs with large-scale data systems, and developing end-to-end pipelines for complex workflows. I collaborate with cross-functional teams to deliver products that enhance efficiency and support strategic decision-making for enterprise stakeholders.
Passionate about leveraging technology to solve real-world problems and creating tools that make a measurable impact on business operations.

Prompt EngineeringMachine LearningArchitectural Design

Siemens

Data Science Intern

Jan 2024 – Jul 2024 · 6 mos · Aurangabad · On-site

As a AI Intern within the Digitalization Team at Siemens:
Applying intelligent techniques to contribute valuable insights to digitalization initiatives.
💻Collaborating with the Digitalization Team on projects that leverage data-driven solutions.
🚀 Embracing the dynamic and innovative atmosphere, contributing to the digital transformation journey at Siemens.
Excited about the opportunity to learn and grow in the intersection of AI and digitalization!
#AI #DigitalizationTeam #SiemensExperience

Machine LearningArchitectural Design

Trainity

Data Analyst

Apr 2023 – Jun 2023 · 2 mos · Remote

At Trainity, a leading data analytics platform, I had the privilege of working on diverse projects that showcased the power of data analytics in solving real-world challenges. Throughout my tenure, I gained invaluable insights into the data analytics process and its applications in various domains. Here are some of the key highlights:
1.Data Analytics Process:
As a data analyst at Trainity, I was involved in a structured data analytics process, comprising data collection, cleaning, analysis, and visualization. Leveraging SQL, and Excel, we harnessed data from multiple sources, ensuring its quality and consistency.
2.Instagram User Analysis:
Analyzing user behavior on Instagram was an exciting project I contributed to. By delving into user interactions, content preferences, and posting habits, we gained valuable insights into user engagement. Our data-driven approach led to personalized content recommendations, improved user engagement, and optimized advertising strategies for businesses on the platform.
3.Operation Analysis & Metrics Investigation:
Trainity's collaboration with businesses in various sectors allowed me to work on optimizing operations through data analytics. For a logistics company, we analyzed supply chain data to identify inefficiencies, resulting in significant cost savings and improved efficiency.
4.Hiring Process Analytics:
A fascinating project involved conducting data analytics on a tech company's hiring process. By analyzing recruitment data, including resumes, interview feedback, and hiring outcomes, we optimized their hiring strategy, reducing time-to-fill positions, and ensuring better candidate-role fit, leading to higher retention rates.
5.Customer Behavior Analysis:
Data analytics played a pivotal role in understanding customer behavior for an e-commerce platform.
Throughout my time at Trainity, I witnessed the profound impact of data analytics across industries, empowering decision-makers with data-driven insights.