Naveen Singh
Full Stack Developer
Summary
● Over 15 years of experience as a Full Stack Developer, delivering scalable,
high-performance web applications.
● Expertise in frontend (React.js, JavaScript) and backend development
(Node.js, Python - Django, Flask).
● Specialized in ERP and CRM solutions, creating efficient and tailored
systems for businesses.
● Proficient in working with databases such as MongoDB, MySQL, and
PostgreSQL.
● Strong background in AI/ML technologies, including TensorFlow, PyTorch,
Scikit-learn, and NLP tools.
● Skilled in creating and optimizing REST APIs and integrating with third-party
services.
● Extensive experience in performance optimization, responsive design, and
accessibility compliance.
● Hands-on expertise in DevOps tools, Docker, CI/CD pipelines, and cloud
platforms like AWS.
● Proven ability to lead cross-functional teams and deliver end-to-end
solutions that drive business success.
● Passionate about leveraging cutting-edge technologies to solve complex
problems and deliver impactful user experiences.
Skills
Languages
Python, JavaScript, TypeScript
Web Stack
REST API, AWS, Websocket, GraphQL, Material UI,
OpenAI (GPT-3.5, GPT-4), Scikit-learn, Pandas,
BeautifulSoup, Scrapy
Framework &
Libraries
Database
React, Node.js, Next.js, Django, Flask, FastAPI, PyTorch,
TensorFlow, Keras
MySQL, PostgreSQL, MongoDB
Professional Experience
● Bonami Software (2024 - Present | 5+ months)
Spearheading operational strategies in FinTech and AI/ML domains, leading
cross-functional teams to deliver innovative software solutions. Implementing
AI/ML-driven techniques to optimize product development.
● HashStudioz Technologies (2019 - 2023 | 3 years, 8 months)
Directed operations, focusing on SaaS, CRM, and mobile applications. Led
product development, service delivery, and customer retention strategies for
startups and enterprises globally.
● Coineption Technology (2018 - 2019 | 1 year, 10 months)
Co-founded a technology firm catering to custom ERP/CRM and mobile/web
solutions, emphasizing cost efficiency and time-to-market improvements.
● Prolitus Technologies (2016 - 2017 | 1 year, 8 months)
Managed a team of 200+ professionals as Chief Operating Officer, improving
service delivery, strategic planning, and operational efficiencies in IT solutions.
● Flexsin Technology (2015 - 2016 | 1 year, 4 months)
Headed the Mobility Development Vertical, driving innovation in mobile app
development, ERP, and cloud-based solutions.
● Samsung India Electronics (2014 - 2015 | 11 months)
Served as Technical Project Manager for Samsung App Store and Club
Samsung, ensuring successful project deliveries.
● Electronic Arts (2009 - 2014 | 5 years, 2 months)
Worked on world-renowned game titles such as Need for Speed, The Sims
3, and GI Joe as a Senior Developer/Project Lead.
● DigiXL (2007 - 2008 | 2 years)
Delivered mobile games and applications using J2ME, specializing in rich,
interactive digital content.
● I-Game Studios (2004 - 2006 | 2 years, 8 months)
Developed 15+ mobile games for Times of India, establishing expertise in
game development and mobile application technologies.
Projects:
1. Creative Galileo
Description: Edtech company focused on children under 5, creating engaging
learning content. My primary responsibility was the admin portal named Gyan, used
by school admins, branch admins, and teachers to manage students.
Tech-Stacks: JS, React, Node.js, Express, MySQL, AWS Services (SQS, S3,
Redis)
Roles & Responsibilities:
● Implemented API optimization techniques, including pagination and
programmatic joins for enhanced performance.
● Integrated Redis for performance improvements.
● Utilized AWS services, including S3 for data storage and SQS for task
management.
● Conducted comprehensive code reviews to maintain high-quality
standards.
● Delegated tasks effectively within the team.
2. Kotak 811
Description: A banking project facilitating customer onboarding, enabling KYC
completion, and application for wallet accounts and cards.
Tech-Stacks: React.js, Node.js, Express, GraphQL, CMS
Roles & Responsibilities:
● Integrated third-party scripts like Google Tag Manager (GTM) and
CleverTap to enhance application analytics and improve user tracking
for better insights into user behavior and engagement.
● Developed reusable and responsive UI components based on Zeplin
design files, ensuring a consistent and visually appealing user
experience across the application.
● Successfully migrated the application from React to Next.js to improve
performance, server-side rendering (SSR) capabilities, and overall
SEO, resulting in faster load times and better search engine visibility.
● Created dynamic and user-friendly forms using Formik, optimizing the
handling of form inputs, validation, and submission processes to
streamline user interactions and improve data collection efficiency.
3. CURD
Description: CURD which is a social media platform which aims to bring
features of Instagram, Facebook and Twitter together.
Tech-Stacks: Python, Django, TensorFlow, Onnixruntime, Keras, Numpy,
GPT, Pandas, NLTK, AWS EC2, S3 bucket, MongoDB
Roles & Responsibilities:
● Text toxicity analysis for preventing toxic comments and texts on the platform.
● Post recommendation section (like instagram's reels section)
● Sentiment analysis section to differentiate between positive and
negative reviews about the product/service
● Industry classification model, to classify posts and assign an industry to them.
● Similar user recommendation system on the basis of their bio, skills and
industry.
Image processing: NSFW model to prevent any sensitive pic or video from getting
posted.
4. Tradershub
Description: A US-based platform that provides robust infrastructure for the trading
community, offering real-time communication, predictive models, and enhanced
security features.
Roles & Responsibilities:
● Implemented user authentication and authorization using JWT, enhancing
application security.
● Designed and deployed a single-session login system, reducing
unauthorized access by 35%.
● Developed a multi-tenant architecture, enabling multiple clients
to use the same platform independently.
● Containerized the application using Docker and established a CI/CD pipeline
for seamless deployment.
● Created a predictive model using Linear Regression to forecast stock
market closing prices.
● Set up NGINX as an API gateway to manage load balancing and routing
traffic.
● Deployed the system on AWS EC2 and supported S3 for secure data
storage and AWS Amplify for frontend deployment.
● Enabled real-time communication between users using WebSockets,
Celery, and Redis to enhance trading efficiency.
● Using SSO for sign
● Developed a chat system utilizing PubNub and integrated Stripe for secure
payment processing.
● Created async functions in a Discord bot to deliver real-time trading data to
users.
● Integrated third-party APIs and webhooks, improving the data relay process
by 15%.
Tech Stack:
• Python, Django, Django REST, Asyncio, Docker, AWS (EC2, S3,
Amplify), NGINX, CI/CD, Git, Sockets.io, Celery, Redis, Django ORM,
MySQL, MongoDB, Selenium, BeautifulSoup
5. Nanonets
Description: Nanonets helps businesses to easily train and deploy machine
learning models that accurately classify and extract information from a variety of
documents, such as invoices, receipts, contracts, and more. This can reduce
the drudgery and time for manual data entry, which can be both laborious and
costly to enter.
Tech-Stacks: FastAPI, AWS EC2, Python
Roles & Responsibilities:
● Developed all the required APIs for tool-pages like image to excel, pdf to csv.
● Created POC models which will extract information from images and
reconcile them with database Worked on the matching logic for
reconciliation.
6. AXXON AI
Description: Axxon AI is a crypto trading bot that can autonomously
execute trades in financial markets based on predefined strategies and
criteria. The trading bot leverages LSTM and XGBoost models along with
data from the Reddit API to analyse market data.
Tech-Stacks: Tensorflow, Keras, Flask, Docker, AWS
Roles & Responsibilities:
● Trained LSTM model on each coin and saved the model with the time stamp
● Preprocessed the data came from coingecko API
● Saved the accuracy scores after testing the model in testing dataset
● Fetched the reddit post data from reddit API
● Worked on predicting the sentiment of the market using the social media post
data
● Worked on XGBoost model for price prediction on 2 folds.
● Worked on Optuna for fine tuning the xgboost model.
