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* Experienced Software Engineer with 7+ years of experience in designing and developing highly scalable software products for enterprise ecosystems. * Proficient in **AWS** and **GCP**, leveraging services like AWS Lambda, API Gateway, and Kubernetes for deployment and orchestration. * Designed systems with event-driven architecture. * Supporting various web applications built in React and Angular. Equally capable of leading teams and delivering directly, Laleet has worked with hundreds of developers from different organizations to solve their technical problems and bugs. He learns fast, communicates well, welcomes challenges, and has excellent debugging skills.
Experience in Healthcare, Fintech and other sectors. Full Stack developer, Cloud DevOps experience and Web Services developer. Enjoy working with data and creating services that are discoverable and allow data access through secure, scalable integrations. Shift left, test first mindset.
I’m a Software Engineer with 7 years of experience specializing in mobile app development, AI, and backend systems. I’ve built and scaled solutions using Python, Java, and Firebase, including an AI-powered agricultural tool that helps farmers optimize crop production. I’ve also led projects in healthcare, e-commerce, and sustainability, such as a parking space-sharing app and a decentralized healthcare data system. Passionate about innovation, I leverage my expertise to create impactful, problem-solving technologies.
### 🔑 Top Skills * Big Data Technologies: **Apache Spark, Hive, HBase, Kafka** * Cloud Platforms: **AWS, Kubernetes, Google Cloud Platform (GCP)** * Data Processing & Transformation * Data structures & Algorithm * Low level design * High level design * Schema Design ### 📜 Certifications * Neural Networks and Deep Learning * Certified Kubernetes Application Developer ### 🌟 Summary I am a seasoned **Data Engineer** with over **12 years of experience**, adept at delivering transformative solutions in **big data, cloud platforms, and database management**. I've successfully worked as a **developer and architect** for top MNCs and led multiple freelance projects to completion. Some of my key achievements include: * 🚀 Developing robust **Apache Spark frameworks** to enhance productivity. * 📈 Migrating large-scale big data systems to **AWS Cloud**, leveraging **Apache Airflow** and **Amazon EMR**. * 🔍 Optimizing retail analytics using **Kubernetes** and **Hive**, driving profitability. I specialize in crafting **scalable ETL pipelines**, optimizing performance, and mentoring aspiring engineers.
I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
Senior software engineer with 10 years of experience. Started out in the trenches coding, fueled by solving tricky problems and getting hooked on software and data architecture. My passion lies in building products, leading teams and writing simple and efficient code.
11 years of hands-on practice at growing engineering teams, building data-pipeline and big data technologies. I have developed many data pipelines and ETL from scratch to end, web panels for reporting and Hadoop administration. I have gained in-depth knowledge of Python, Databases, Hadoop, AWS, architecture and many more.
I've a rich history of scaling startups, like Gauntlet where as an early engineer and team lead of the platform team, I help grow from series A to $1B valuation
An experienced data scientist and full stack developer. My key skills are - Python, machine learning, data engineering. And ofcourse, raspberry PIs. :)
- 7 years of programming experience - 3.5+ years of Python experience, primarily focused on ETL pipelines and web development using Django + React - I've worked at: 2 Fortune 100 companies (Amazon & ConocoPhillips), a mid-sized company, and a SaaS startup, and started my own Software Consulting firm - Broad background (7+ years) of programming experience, everything from iOS development to Java to C# / .NET - Nearly 1 year of volunteer experience teaching people from non-traditional backgrounds how to code
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