Hitesh K.
Sr. Software Engineer / Tech Lead
Experience
Apr 2022 - Present
3 years 7 monthsJapan
Sr. Software Engineer / Tech Lead
Eagle Eye Networks
- Developed an autonomous AI Agent POC using Llama 3 8B Instruct and LangChain to automate business report data analysis. Integrated the agent with Google Sheets and Zulip to enable workflow automation for insight extraction, summary generation, and proactive stakeholder notifications, reducing manual workload by 60% and accelerating report turnaround.
- Developed a GenAI chatbot POC using Gemma 7B Instruct, LangChain, and FAISS, leveraging Model Context Protocol (MCP) to enable semantic search and conversational access to internal Confluence technical docs. Hosted the model on a Kubernetes cluster with custom inference endpoints for scalable deployment.
- Designed and deployed a scalable, fault-tolerant solution for Eagle Eye Networks' surveillance product, connecting over 2 million users to network speakers in real time. Utilized WebSocket, WebRTC, asynchronous Python, Redis, DHash, Kubernetes, Docker, Django, and REST API to deliver low-latency and high-throughput performance, handling millions of concurrent connections seamlessly.
- Led the integration of Swift Sensors into the existing system, enhancing the camera dashboard UI to display real-time sensor data alongside live video streams. Developed backend APIs to synchronize data flow between sensors and the camera system, supporting real-time monitoring for over 100,000 devices.
- Built a robust job scheduling system to optimize workflows for enterprise-scale applications, leveraging Apache Pulsar, Node.js, TypeScript, Docker, and Kubernetes. Designed a custom job scheduling module with a daemon to handle over 10,000 jobs per second, improving system scalability by 30% and reducing operational delays by 40%.
Oct 2020 - Mar 2022
1 year 6 monthsTsukuba, Japan
Sr. Artificial Intelligence Engineer / Tech Lead
Vebuin Co. Ltd.
- Owned the development and deployment of a near real-time user behavior reporting and analytics solution based on AWS Kinesis Data Streams, Firehose, AWS Lambda, and Step Functions, ingesting over 4 million user behaviors daily into AWS Redshift and powering a Metabase dashboard with customizable KPIs for over 10 million users.
- Designed an AWS Lambda–based REST API to persist streaming data into S3, enabling automated backfills and reducing operational overhead.
- Developed an end-to-end cost optimization solution using rotated Mask R-CNN, NLP, and a microservices architecture deployed on AWS ECS, SNS, SQS, and RDS, including an API Gateway and load balancer, reducing API latency by 20% and automating invoice type detection, PDF splitting, and entity recognition.
- Led the AI team through the full SDLC, from requirement gathering and user story creation to infrastructure design, solution development, test case design, code reviews, and CI/CD pipeline implementation to deliver scalable AI solutions aligned with business goals.
Apr 2019 - Oct 2020
1 year 7 monthsAhmedabad, India
Full Stack Machine Learning Engineer
Vebuin Co. Ltd.
- Led the development of a receipt entity recognition system for automating reimbursement workflows within the Smartflow (Jugaad) product, leveraging NLP, RCNN object detection, and Google Vision OCR, built with PyTorch and Django REST APIs, reducing processing time by over 50%.
- Contributed to the development of a driver safety system for one of Japan’s largest automobile manufacturers by designing and implementing a machine learning pipeline to predict safety alerts based on real-time data from weather, driving conditions, and driver/vehicle health, achieving 89.93% prediction accuracy.
Jan 2017 - Apr 2019
2 years 4 monthsPune, India
Software Engineer
Persistent Systems Ltd.
- Led the development of high-volume modules in the BFSI domain, including an insurance claims system processing over 1 million requests daily, managing over 1 billion records using Microsoft SQL Server and building an analytics tool with .NET MVC 5, Entity Framework, and SSIS ETL to process over 10 million records.
- Contributed to the design and development of the TCC Designer module by creating REST APIs using .NET MVC 5, Entity Framework, and OracleDB, and performed business analysis to design customized workflows.
- Developed a traffic signal recognition module for driverless cars during Persistent Technothon 2017, achieving 72.48% accuracy on unseen data using OpenCV3, Python, Scikit-Learn, NumPy, and AWS, securing 2nd place.
Dec 2015 - Dec 2016
1 year 1 monthAhmedabad, India
Trainee Engineer
Volansys Technologies Pvt Ltd.
- Contributed to the development of the App Bundle feature for a distributed system at one of the largest display manufacturing providers in the USA, utilizing Node.js, AngularJS, Elasticsearch, CouchDB, Jenkins, and Nginx, and developed an end-to-end testing pipeline using Mocha and Nock to ensure seamless integration and feature reliability.
Summary
- Senior Software Engineer / Tech Lead with 9+ years of experience, delivering 15+ end-to-end software solutions that increased system efficiency by an average of 40%.
- Led development of 5 large-scale distributed systems on AWS, achieving 99.99% uptime and reducing operational costs by 30% through optimized serverless architectures.
- Expertise in Python and TypeScript, with 10+ production-level projects utilizing Express.js, Node.js, Django, Flask, and FastAPI.
- Pioneered 3 AI-driven solutions using Machine Learning, Deep Learning, NLP, LLM and Computer Vision, increasing accuracy by 25% and processing speed by 70% over traditional methods.
- Mentored 15+ junior developers and interns, creating comprehensive training materials that improved team onboarding time by 35%. Conducted multiple design and code reviews, elevating code quality standards and reducing post-release bugs across team projects.
Languages
Gujarati
NativeHindi
NativeEnglish
AdvancedJapanese
ElementaryEducation
Oct 2013 - Jun 2016
Charotar University of Science and Technology
Bachelor of Technology · Computer Engineering · India · 7.6/10.00
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