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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.
I have experience as a Data Engineer, Machine Learning Engineer, Organization/Process designer, and Team Leader. I'm looking for part-time work while pursuing personal projects connected both to software and organizational theory. My focus is on Python and Scala, even though I have professional experience in several different languages that I can brush up on if needed. I have plenty of experience in translating business needs or research code into actionable requirements. This includes first and foremost effective communication skills, mediation, and facilitation of meetings. If it's of interest, I can bring to your organization more effective meeting practices and review your process and practices around software development and decision making. I'm also proficient in prototyping and software for internal use, using no-code tools like Notion or Airtable and automation suites like Zapier or n8n.
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.
About Me ● Backend & Data Engineering expert with 5+ years industry experience in cloud technologies, ● 10 years of coding experience, and 2000+ problems solved through competitive programming. ● Passionate mentor, guided 100+ aspiring people throughout my journey . Here's a glimpse of what I can accomplish for you but the possibilities don’t stop here ;) Mentorship Sessions ● Guidance for college/university project & assignments ● Short & long term mentorship on backend, cloud or data engineering ● Live 1:1 resume review ● Mock DSA coding interview ● Code review with professional guidance ● How to plan & manage a real life project (methodologies, challenges, team, etc) ● How to deal with stress & challenges at work (deadlines, communications, disagreements, etc) Development ● Web app (Django, flask, fastAPI) ● Cloud architecture, serverless app ● Database design, performance optimization ● Troubleshoot, debugging with proper communication ● Data Engineering, ETL Pipelines ● Web scraping, data collection and data visualization ● Data Ingest, process, and transform for analytics ● Automate tasks and workflows with Python scripts ● Customized python library and reusable django app ● Integrating third party APIs and services (stripe, social media, etc) How do I help? Just like a good doctor with a patient—I listen carefully, analyze deeply, and work toward the best solution. When mentoring, I’m more caring :) My work ethics? Honesty and respect—no false promises & motivation, no time wasting. I value direct & productive discussions.
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
- 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
* Lead Software Engineer with a wealth of experience in crafting scalable solutions. * Expertise in technologies like Apache Kafka, Apache Flink, Docker, Kubernetes, and more. * Passionate about mentoring and assisting others in understanding intricate tech concepts. * Committed to continuous learning and keeping pace with evolving tech trends. * Dedicated to delivering top-notch, reliable software solutions. * Adept at collaborating in Agile teams and providing effective leadership. **Skills** * **Programming Languages**: Python, Java, Kotlin * **API Development**: RESTful APIs, API Design Principles, API Security * **Frameworks**: Flask, Django, Spring Boot * **ETL Tools**: Kafka, Apache Spark, Apache Flink, Apache NiFi * **Rule Engines**: Drools * **ELK Stack**: Elasticsearch, Logstash, Kibana * **Monitoring and Visualization**: Grafana, Prometheus * **Kafka Tools**: Kafka CLI, Offset Explorer * **Virtualization**: VirtualBox, VMware * **Virtual Machines**: Ubuntu VM, CentOS VM * **Cloud Platforms**: Microsoft Azure, Kubernetes (K8s), Docker * **Orchestration**: Helm * **Version Control**: Git, GitLab, Bitbucket, GitHub * **Build and Dependency Management**: Maven, POM (Project Object Model) * **Continuous Integration and Deployment (CI/CD)**: Jenkins * **Command Line Interfaces**: Kube CLI, Shell, Bash, Terminal (Windows, Linux) * **Database Tools**: Workbench, SQL Clients * **Documentation Tools**: Confluence, Markdown * **Diagramming**: Gliffy, Lucidchart, Draw.io, Microsoft Visio * **Log Analysis**: Splunk * **Presentation Creation**: Microsoft PowerPoint * **Shell Scripting**: Bash, Zsh
I joined CodeMentor because of my genuine enjoyment of teaching and communication. I bring a solid foundation in programming, data engineering and analytics, as well as experience teaching on a data bootcamp and mentoring people on how to interview and break into tech careers (you can see the student reviews on my LinkedIn).
With more than 5 years in data science and analytics, I specialize in transforming complex data into actionable strategies. My journey spans high-impact roles at **Uber** and **Blinkit**, where I've harnessed ML and AI to optimize operations, enhance user experiences, and fuel business growth. From building demand forecasting systems to optimizing delivery logistics, I bring a hands-on approach to solving real-world challenges. Whether you're aiming to elevate your analytics skills, explore career pathways in data science, or learn how to turn data into strategic advantages, I’m here to mentor you on your journey to success.
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