Work Experience

Graduate Research Assistant at BioNLP Lab at University of Massachusetts Lowell

Developing a medical note chatbot application leveraging Flask and Python to streamline the annotation of deidentified discharge summaries, enhancing the efficiency of question-answer evaluation for clinical research.

BioNLP Lab, UMass Lowell | August 2024 – Present View Research Details →

NoteAid-Chatbot Framework and Functionalities - Medical AI Research System

Graduate Teaching Assistant

At UMass Lowell, I've enjoyed the rewarding experience of helping students grow in three key courses: Analysis of Algorithms, Data Communication, and C++ Programming. Working side-by-side with inspiring faculty like Dr. Robert Marceau and Prof. Benyuan Liu, I broke down challenging topics, whether it was exploring how algorithms work, untangling computer networks, or building real projects in C++.

Led hands-on workshops, and offered personal help that made a difference. The impact showed: students shared that their coding skills improved and they felt more confident tackling new problems. Many took on bold ideas in their final projects, pushing their creativity and technical abilities further.

This role has let me give back by sharing what I've learned, while also growing myself as a mentor and as a teammate in a classroom where everyone's success matters. I'm thankful for every chance to support students on their journey, and proud to be part of a vibrant, supportive learning community.

University of Massachusetts Lowell | December 2024 - Present

Algorithm Analysis - Computer Science Teaching

Teaching Assistant - C++ Programming

Elevated C++ programming skills for 88 UMass Lowell students, with 86% demonstrating enhanced innovation in projects through targeted instruction on data structures and OOP.

UMASS Lowell | September 2024 – December 2024

Full Stack Developer

Engineered a Java-based API capable of 9,000 RPM, leading AWS and Docker deployments that achieved 25% uptime improvement, cut operational costs by 15%, and automated ETL processes.

Sunera Technologies Pvt. Ltd. | February 2021 – September 2023

Java Full Stack Development Architecture

About Me

Engineering with Purpose and Perspective

Welcome! I'm delighted you're here. I'm a full-stack engineer and AI researcher who finds harmony in precision and creativity. My journey spans from engineering medical AI chatbots that support healthcare research to analyzing algorithms 14,000 feet above Dubai during a skydive.

Raised amidst the rhythms of Indian classical music under my mother's guidance, I learned early that both music and code are languages of logic and emotion. Whether it's tuning neural networks or debugging complex backend systems, I approach every problem like a composition with structure, improvisation, and intent.

Beyond coding, you'll find me diving into Stoic philosophy, particularly the writings of Marcus Aurelius, which guide my mindset through the highs and lows of life and engineering. I believe calm is a superpower, and that clarity, focus, and kindness are essential in building technology that lasts.

From table tennis battles to photography and free-fall adventures, every experience adds a new perspective, because the best engineers zoom in on the details, but never lose sight of the big picture.

Kiran Gandluri – Custom AI Workstation

Each module mirrors the precision, curiosity, and systems thinking I bring to engineering.

Full-Stack: React, Node, REST, AWS
ML & AI: BERT, LangChain, Transformers
Cloud Systems: 3-tier AWS architectures ↓ latency 30%
Research: Co-author @ EMNLP 2025
Data Science: Processed 250k+ clinical notes
Teaching Assistant: Analysis of Algorithms, C++ Programming, Data Communications | 200+ Students

Graduate Teaching Assistant

Courses: Data Communications

Mentored 80+ students through office hours, grading, and 1:1 feedback.
Simplified complex networking and algorithmic concepts for real-world application.

AI Workflow Automation

Platform: n8n + OpenAI + Google Suite

Built no-code/low-code agents for summarizing research, parsing resumes, and auto-replying to emails.
Integrated with APIs to build scalable pipelines, reducing manual effort by 60%.

Teaching Algorithms Visually

Developed analogies and visuals to teach graph theory, recursion, and dynamic programming.
Conducted 10+ peer sessions using Figma and dry-erase logic boards.
Best feedback: “You made Dijkstra more intuitive than a game tutorial.”

Practicing Systems Design

Focus: Scalable APIs, distributed architectures

Designing end-to-end systems with HLD and LLD flowcharts.
Building a personal backend playground for LLM-based search applications.
Studying CAP theorem, database sharding, and caching strategies.

📸 Aside from coding...

"Framing moments that move me more than pixels ever could."

Soft sunset over Pawtucket Falls in Lowell, Massachusetts — Canal Cascade Lowell, Massachusetts

Pastel sunrise clouds sweeping over Nahant Beach

Vintage Ford parked against modern glass in Los Angeles — Sunset Boulevard Echo Los Angeles, California

Car driving along 18-Mile Road toward a glowing Pacific horizon

Electric storm building above an Indian cityscape — Monsoon Prelude California, USA

Skydiver floating above the Palm Jumeirah coastline

Sunset reflections along the Merrimack River in Lowell — Riverfront Glow Lowell, Massachusetts

Fiery sunset over churning surf at Nahant Beach — Tidefire Nahant Beach, Massachusetts

Rainy night traffic reflecting neon lights — Runway Reflections Hyderabad, India

Crowd illuminated inside a baseball stadium at night — Stadium Roar Los Angeles, California

Person walking through neon illuminated arches — Neon Arches Dubai, UAE

Abstract light streaks above a city skyline at night — Signal Flare Boston, Massachusetts

📄 Resume

Sai Kiran Gandluri

Los Angeles, CA

WORK EXPERIENCE

University of Massachusetts

Research Assistant

Aug 2024 – June 2025

Lowell, MA

Designed and deployed a Flask and PostgreSQL chatbot system for clinical research, reducing medical note annotation time by 30%.
Spearheaded the design and execution of an annotation workflow for over 1,000 datasets, integrating user management protocols and implementing Flask APIs, which reduced response times by 25% and improved evaluation time by 40%.
Executed cross-validation for clinical data models, increasing accuracy by 15%, while optimizing processes and tools to ensure high-quality datasets for research and developing systems ready for production

University of Massachusetts

Graduate Teaching Assistant (C++, Analysis of Algorithms, Data Communication)

December 2024 - Present

Lowell, MA

Improved programming skills for 88 students, with 86% demonstrating enhanced innovation in projects through targeted instruction on data structures and object-oriented programming during personalized tutoring sessions.
Conducted interactive online workshops and designed engaging assignments, improving student participation by 20% while enhancing technical skills, project creativity, and comprehension through practical coding challenges.

Sunera Technologies Pvt. Ltd.

Full stack Developer

Feb 2021 - Sep 2023

Hyderabad, India

Architected a robust Java-based customer personalization API, efficiently handling up to 9,000 requests per minute, thereby enhancing user engagement and satisfaction.
Deployed and managed scalable web applications using AWS and Docker, ensuring 99% uptime, reducing operational costs by 15%, and automating ETL pipelines to process billions of data rows, cutting manual effort by 25%
Developed intuitive and responsive frontend components to elevate user experience, ensuring seamless integration with backend services and contributing to a 20% increase in user retention.

EDUCATION

University at Massachusetts Lowell

Master of Science, Computer Software | GPA: 3.9

Jan 2024 - Dec 2025

Lowell

Achievements: I co-authored "Chatbot To Help Patients Understand Their Health", recently accepted to EMNLP 2025 Findings.
Coursework: Web Development and User Experience, Network Structures and Cloud Computing, Data Science, Program Structures and Algorithms, Advance Big Data Indexing, Design Patterns

Geethanjali College of Engineering and Technology

Bachelor of Technology, Computer Science

May 2016 - Jun 2020

TECHNICAL SKILLS

Programming Languages: Python, Java, JavaScript, TypeScript, HTML, CSS, SQL, Linux
Frameworks/Web Development Tools: Git, ReactJS, Angular, Kafka, Spring Boot, Django, MongoDB, Docker, Postgres, JavaScript
Cloud Technologies: AWS, Hashicorp Packer, Pulumi, GCP, Kubernetes, Docker, DynamoDB, API
Storage Database: SQL Server, MySQL, PostgreSQL, MongoDB
ML & AI: PyTorch, TensorFlow, scikit-learn, Hugging Face, Reinforcement Learning (PPO), RAG (LangChain, FAISS), Transformers (BERT, SBERT, LLaMA)

ACADEMIC PROJECT

Bakery Website (React + Node.js + MySQL)

2025 May - Jun 2025

Designed and deployed a responsive, full-stack web application with dynamic product pages and order management.
Built from scratch within 3 days to help a local street vendor expand his bakery's digital presence.
Improved load times by 40% across devices and directly contributed to a 15% increase in the vendor's sales by reaching new customers online.

Real-time detection and Analysis of Fake News on Social-Media

Apr 2024 - May 2025

Architected a cutting-edge system that improved the accuracy of real-time fake news detection on social media by 91.1% using BERT and SBERT models, incorporating Natural Language Inference and ROC curve analysis.

Deepfake Face Detection

Jul 2024 - Aug 2024

Developed a deepfake detection model using CNN-LSTM, achieving 85% accuracy. Applied image processing techniques to detect inconsistencies in facial features, leveraging computer vision methodologies to enhance security applications
Implemented frame-level analysis to uncover subtle temporal irregularities, focusing on eye blinking patterns and facial artifacts, resulting in a 30% improvement in detection precision.

Research & Independent Study Section

EMNLP 2025 Findings (Author) - Co-authored "Chatbot To Help Patients Understand Their Health", pioneering multi-agent LLM role-play with reinforcement learning (PPO) for patient education.
Built and deployed a Flask-based annotation platform on Render with HIPAA-compliant pipelines; integrated RAG (LangChain, Hugging Face, FAISS) for scalable retrieval.
Chatbot To Help Patients Understand Their Health. Validated and advanced AI-driven medical literacy research and conducted Turing-style human evaluations where the chatbot surpassed non-expert baselines. Led independent research (Spring 2025) to refine role-play techniques using Azure AI Search and Semantic Kernel, bridging AI, linguistics, and healthcare for real-world patient-centered applications.

Leadership Experience

Led as a Team Leader in the National Entrepreneurship Network (NEN) Club, driving initiatives to foster entrepreneurial skills among students.
Spearheaded a team of four to organize the Python Programming League (PPL), a national level programming contest.
Earned the prestigious Toastmasters of the Month award in March 2023, as an active member of Toastmasters International, honing public speaking and leadership abilities through structured presentations and mentoring.
Contributed as a key organizer of major cultural and technological events like VIBES and BASWARA for three consecutive years at GCET, ensuring seamless event execution and participant engagement.

Featured Projects

Exploring the intersection of AI, machine learning, and full-stack development through innovative solutions that solve real-world challenges.

Real-Time Fake News Detection

Advanced NLP system powered by BERT & SBERT for instant misinformation detection

Multiclass Noisy Text Classification

Bidirectional LSTM for social media text classification with hashtag prediction

91.35%

LSTM • NLP • Python

Cloud-Based 3-Tier Architecture

Scalable full-stack solution deployed on AWS with optimized performance

30% ↓ Latency

React • AWS • MySQL

Social Determinants of Health NLP

Healthcare research system extracting social factors from clinical notes

92.92%

BERT • Healthcare NLP

Advanced Deepfake Detection

Hybrid CNN-LSTM model for detecting AI-generated video manipulations

95.2%

CNN-LSTM • TensorFlow

Bakery Web Application

Full-stack responsive website with cultural design and modern functionality

Mobile Ready

Node.js • Express

Django Task Management System

Full-stack application with real-time updates and scheduling capabilities

Real-time

Django • AJAX • JavaScript

Kiran Gandluri, 🏓 Table Tennis Player – 10+ Years

From Algorithms to Altitudes: Engineering with a Bird's-Eye View

Work Experience

Graduate Research Assistant at BioNLP Lab at University of Massachusetts Lowell

Graduate Teaching Assistant