Hi, I am Manmath Jukale
Software Engineer
Backend Development & AI Engineering
I'm a passionate software engineer specializing in building scalable backend systems and integrating cutting-edge AI technologies. Currently pursuing my Master's at SUNY Binghamton with 2+ years of professional experience.
About Me
Passionate about building intelligent systems that solve real-world problems
Education
Master of Science in Computer Science
State University of New York at Binghamton
Aug 2024 - May 2026 • GPA: 3.53/4.00
Coursework: Design and Analysis of Algorithms, Programming Languages, Machine Learning
Bachelor of Engineering in Computer Engineering
Savitribai Phule Pune University, India
Aug 2019 - May 2023 • GPA: 3.61/4.00
Coursework: Cloud Computing, Object Oriented Programming, Advanced Databases, Computer Networks
Professional Journey
As a software engineer with 2+ years of hands-on experience, I specialize in architecting and developing robust backend systems that can handle millions of requests with reliability and efficiency.
My passion lies at the intersection of traditional software engineering and artificial intelligence. I'm particularly fascinated by how AI can be seamlessly integrated into backend architectures to create intelligent, self-optimizing systems that learn and adapt over time.
Currently pursuing my Master's at SUNY Binghamton, I'm diving deep into advanced machine learning algorithms, natural language processing, and distributed systems. My goal is to bridge the gap between scalable infrastructure and intelligent automation, creating systems that not only perform exceptionally but also evolve intelligently.
Professional Experience
Building impactful solutions across diverse domains
Graduate Student Assistant
KEY_ACHIEVEMENTS
Redesigned backend request submission system by developing RESTful APIs using Flask and MySQL, streamlining student form handling and reducing processing time by 50%
Improved security of student login sessions by implementing session timeouts, token validation, and Flask-Login integration, preventing unauthorized access and aligning with campus IT policies
TECH_STACK
Software Engineer
KEY_ACHIEVEMENTS
Refactored backend booking system for 6000+ monthly reservations by building Spring Boot APIs with service-layer design, JPA-based entity mapping, and transaction isolation, reducing double-bookings by 95%
Implemented Redis-backed rate limiting and JWT-based authentication using Spring Security filters and interceptors to block over 2500 unauthorized requests per month and secure high-traffic endpoints
Automated integration and unit testing for 20+ endpoints using JUnit and Mockito, integrated Swagger documentation, and configured GitHub Actions for CI/CD, achieving 92% test coverage and ensuring reliable deployments
TECH_STACK
Software Engineer Intern
KEY_ACHIEVEMENTS
Built secure REST APIs and cron-based background service for healthcare records platform using Flask, Python, and PostgreSQL, supporting 1,000+ users and reducing unauthorized access by 90%
Designed role-based access control (RBAC) system for 3 user types across 25+ endpoints using modular Flask middleware, reducing backend access errors by 40% and cutting support requests by 60%
Automated data processing workflows to save 5+ hours daily in manual work while enhancing system security and maintainability
TECH_STACK
Software Engineer Intern
KEY_ACHIEVEMENTS
Delivered 10+ reusable UI components for Dragon Medical Advisor using React, TypeScript, and Fluent UI, enhancing interface usability for 10,000+ monthly healthcare professionals
Streamlined frontend delivery by aligning API contracts and UI logic across 3 agile sprints, cutting feature rollout time by 30% and maintaining 98% code quality through rigorous testing
Accelerated clinician workflows through intuitive component design and comprehensive documentation, improving overall user experience
TECH_STACK
Featured Projects
Innovative solutions that demonstrate technical excellence
Market Data Service
Engineered real-time Market Data Service using microservices architecture to efficiently collect, process, and analyze financial market data with high-throughput event streaming
Developed RESTful APIs including /prices/latest for on-demand price fetching and /prices/poll for managing automated polling jobs, integrating with multiple external providers (Finnhub, Alpha Vantage, Yahoo Finance)
Leveraged Apache Kafka for asynchronous processing of price updates and Redis caching to significantly boost data retrieval performance, with full Docker containerization for enhanced scalability
MyDrive - Secure File Storage
Engineered scalable cloud-based file storage system with 20+ FastAPI endpoints and AWS S3 integration, supporting 10,000+ user files with 99.99% uptime
Orchestrated secure access control through JWT-based authentication, role-based permissions, and admin tools, achieving 100% unauthorized access prevention
Structured normalized PostgreSQL schema featuring file versioning, nested folder hierarchies, and granular sharing logic, enabling auditable collaboration across 1,000+ user sessions
AIBackend-Lab – AI-Augmented Backend Platform
Built a modular FastAPI-based backend system integrating local LLMs (Mistral via Ollama) for real-time AI-enhanced APIs, including password feedback, log summarization, and function calling
Implemented Retrieval-Augmented Generation (RAG) with ChromaDB and sentence-transformers to enable semantic log chat and contextual responses
Engineered a WebSocket-based streaming API to serve local LLM completions in real-time using FastAPI and Ollama, ensuring fast and cost-efficient communication
NewsPulse - AI News Aggregator
Crafted full-stack web application using FastAPI, PostgreSQL, Redis, and React.js to fetch, categorize, and display real-time news from multiple sources
Incorporated NLP-based news classification with Redis caching for performance optimization, ensuring personalized and scalable news delivery
Implemented OAuth2 & JWT authentication system for secure user sessions and personalized content recommendations
Distributed Task Processing System
Designed scalable task processing system using FastAPI and Celery with Redis message broker, handling 1000+ tasks per minute
Implemented automatic retry mechanisms and dead letter queues, achieving 99.5% task completion rate
Integrated Prometheus monitoring and Grafana dashboards for real-time system performance tracking and alerting
API Gateway with Rate Limiting
Built centralized API gateway using Flask with Redis-backed rate limiting, managing traffic for 5+ microservices
Implemented JWT authentication, request validation, and service discovery, reducing API response time by 30%
Deployed with Nginx load balancer and comprehensive logging, achieving 99.8% availability and enhanced security
LeetPortfolio
Created dynamic web application showcasing LeetCode problem-solving journey with GitHub API integration
Implemented syntax-highlighted code display and markdown rendering for 200+ coding problems with responsive design
Built customizable theme system and search functionality, enhancing user experience and code portfolio presentation
Technical Expertise
Technologies that power modern applications
Programming Languages
Backend Technologies
Databases & Storage
AI & Machine Learning
Cloud & DevOps
Let's Build Something Amazing
Ready to collaborate on your next project
Get In Touch
jukalemanmath@gmail.com
Phone
(607) 232-6837
Location
Binghamton, NY
Open to Opportunities
I'm actively seeking full-time software engineering positions with a focus on backend development and AI integration. Let's discuss how I can contribute to your team's success.