Resume - Jai Singhal

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About

Jai Singhal is an experienced software developer with 6+ years of expertise in designing and implementing scalable, AI-powered solutions across diverse domains. He holds a Master’s degree in Computer Science from BITS Pilani, and is highly proficient in full-stack development, microservices architecture, and AI-driven applications.

Jai is passionate about building products that deliver real business impact. He is a hands-on technologist with a strong background in Python, JavaScript/React, Docker, and modern cloud-native development, and has successfully led high-impact engineering teams.

Jai loves to mentor, teach and empower others—thriving in learning environments, staying adaptable to new tech, and always eager to drive projects from idea to delivery.

Some activities and highlights:

Author/Maintainer @DjangoPY – Blog and tools for Django enthusiasts.
Growth Lead @ Worksaga (2024-Current): Built the first AI platform mapping IT work to career growth, leading teams in shipping SaaS AI products.
Product & Engineering Lead @ Hansei AI / Acadium: Built AI-powered chat assistants with knowledge/vector search that was later acquired and rebranded.
Performance Engineering @ ColorTokens & NetApp: Improved system scalability and performance across databases, microservices, and cloud.
BITS Pilani – Graduate Teaching Assistant: Courses: Computer Networks, Information Retrieval.
Winning Coder: Winner of Blind Coder at Rajasthan Hackathon IT Day.
Pyclub Mentor: Mentored the Python Club at SKIT College.

Education

BITS Pilani, Pilani Campus, 2019-2021

ME Computer Science | CGPA: 8.22/10

Coursework: Advanced Operating Systems, Machine Learning, Information Retrieval, Cloud Computing

Graduate Teaching Assistant: Computer Networks, Information Retrieval

SKIT Jaipur, 2015-2019

B.Tech in Computer Science – 71.5%

Coursework: Data Structures & Algorithms, Databases, OS, Computer Networks, OOP

Projects:

DIGILOCKER | Decentralized DApp • Ethereum Blockchain • Solidity
- Open Source – 18 stars, 9 forks
- Developed DigiLocker, a decentralized app (DApp) for secure document storage and verification using Ethereum Blockchain and Solidity.

CROMA | Pharmacy Management System
- Open Source – 55 stars, 21 forks
- Reverse-engineered legacy shop software; built sales, purchase, and reporting modules using modern stack.

AS3 INTERNATIONAL | Analytics Dashboard • Django REST • React • AWS
- Planned & built full-stack SaaS dashboard for 5 user types, boosting company revenue by 36%.
- Set up scalable CI/CD using Jenkins & Docker.

NUPRIZM | News Aggregation Framework (Python)
- Developed scalable news extraction pipelines, mentored devs, and improved reliability.

Publications:

Singhal, J., Gautam, A. S., Bhatia, A., Agrawal, A., & Kaushik, R. (2022). DD-Locker: Blockchain-based Decentralized Personal Document Locker. In Proceedings of the International Conference on Information Networking (ICOIN) (pp. 68-73).
Singhal, J., & Narang, P. (2020). DeblurRL: Image deblurring with Deep Reinforcement Learning. In Computer Vision and Image Processing (pp. 1-12).

Experience

Worksaga • Head Of Product Remote | July 2024 – Current
- Founded and built the first AI platform mapping IT daily work to career ladders, growth insights, and job matches.
- Led full-stack development (React/Typescript/Next.js, FastAPI, Python, Redis, Weaviate) from scratch to scale (10k+ users on Azure).
- Mentored a team of 7 and shipped integrations with Jira, Asana, ClickUp, Resume scrape pipelines, logging/observability (Loki, Grafana), CI/CD with Docker.
Hansei AI (Now Acadium) • Lead Engineer Remote | Apr 2023 – Mar 2025
- Architected and shipped Hansei, an AI-powered knowledge assistant with vector search, later acquired and rebranded as Acadium.
- Built scalable AI infra (Weaviate, Python/FastAPI, NodeJS), monitoring & real-time observability, managed a team of 5.
- Achieved 99.9% uptime supporting 10k+ users.
ColorTokens • Member of Technical Staff Bengaluru | Nov 2023 – Sept 2024
- Improved Postgres DB performance by 26% under load.
- Created a distributed scale framework (Golang, JS, k6, Redis) and optimized frontend (React/Typescript/Tailwind), GCP cloud native scaling, and CI/CD (GitHub Actions, Terraform).
NetApp • Member of Technical Staff Bengaluru | Jan 2021 – Apr 2023
- Built microservices and dashboards (Golang, React TS, Redis, Python, Kubernetes) for product release monitoring and code traceability—reduced build time by 40%.
- Drove system reliability & scalability (cloud-native/Astra), code refactors, cross-team code reviews (reduced defects by 30%).
Freelance SaaS & Data Products
- AS3 INTERNATIONAL INC | SaaS Dashboard, Revenue ↑36%, End-to-end build, scaling via AWS.
- NUPRIZM | News aggregator & dev mentoring.

Available Commands

about, education, publications, projects, experience, skills, contact, download, theme, clear

Technical Skills

Languages: Python, C, C++, SQL, Golang, JavaScript
Web Development: Django, Flask, FastAPI, NodeJS/SailsJS, DRF, ReactJS, Typescript, HTML/CSS, Bootstrap, Tailwind
Tools: Redis, Grafana, BeautifulSoup, Scrapy, Celery, Ethereum/Blockchain, Locust, K6, LangChain
Cloud/Ops: Docker, Kubernetes, Jenkins, Terraform, Git/GitHub, Jira, GCP, AWS, Azure

Awards and Community

Maintainer and Author at DjangoPY (2017-2021)
Mentor/Instructor, Python Club SKIT (Aug 2018 – Oct 2018)
Winner, Blind Coder, IT Day Hackathon 1.0, Rajasthan (2016)

Email: jaisinghal48@gmail.com
LinkedIn: https://www.linkedin.com/in/jai-singhal/
Github: https://github.com/jai-singhal
Google Scholar: https://scholar.google.com/citations?user=M7oajYQAAAAJ&hl=en
Quora: https://www.quora.com/profile/Jai-Singhal
StackOverflow https://stackoverflow.com/users/6899815/jai-singhal
Facebook: https://www.facebook.com/jaisinghal48
Instagram: https://www.instagram.com/jai_si__/

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Singhal, J., Gautam, A. S., Bhatia, A., Agrawal, A., & Kaushik, R. (2022). DD-Locker: Blockchain-based Decentralized Personal Document Locker. In Proceedings of the International Conference on Information Networking (ICOIN) (pp. 68-73).

Singhal, J., & Narang, P. (2020). DeblurRL: Image deblurring with Deep Reinforcement Learning. In Computer Vision and Image Processing (pp. 1-12).