Hi, I'm Shreeya Singh
Software Development Engineer at Adobe
IIIT Hyderabad Alumna passionate about LLMs, Machine Learning, Full-Stack Development, and building innovative solutions that bridge AI and software engineering.
About Me
I'm a passionate software engineer with expertise in AI/ML and full-stack development. Currently working at Adobe, I love building innovative solutions that leverage the power of LLMs and modern web technologies.
Full-Stack Development
Building scalable web applications with React, Node.js, FastAPI, Go, GraphQL, and modern cloud technologies
AI & Machine Learning
Developing LLM-powered solutions and ML pipelines for real-world applications
Innovation
Patent holder with experience in cutting-edge research and development
Technical Skills
Work Experience
My professional journey in software development and AI/ML
- •Developed an LLM-powered pipeline using GPT-4 and Sentence Transformers to surface trending prompts in AI Assistant, using coreference resolution and time-decay scoring while preserving org privacy.
- •Enhanced Adobe's Figma MCP server with tools for node analysis, component extraction, and image rendering to enable design-to-code automation and accelerate UI development.
- •Built UI workflows to share AI Assistant responses across channels (Slack, Email, in-app notifications), integrating with backend services to improve discoverability and team collaboration.
- •Implemented a new admin control in the approval policy UI with GraphQL backend changes to restrict self-approval by creator-reviewers.
- •Built end-to-end ML pipelines in Snowflake using SQL, Snowpark, and Python to automate data ingestion, model training, and inference workflows
- •Developed sentiment classification and churn prediction models with custom feature engineering, time series analysis on real-world client data.
- •Collaborated on client-facing solution delivery across insurance and housing domains; earned SnowPro Core Certification.
- •Built a sales play recommendation system for Adobe Marketo using LLMs (T5, GPT-2) to assist real-time sales planning in B2B workflows.
- •Developed backend APIs using FastAPI and integrated a responsive frontend in React to surface multiple recommendations simultaneously.
- •Filed a patent as first inventor, titled "Generating Contextually Grounded Recommendations using a Large Language Model"
- •Developed a web interface for speech transcription verification with audio playback, virtual keyboard for multiple Indic languages, navigation, edit and save features for efficient annotation.
- •Head TA for Computer Programming and Quarter TA for Linear Algebra courses taken by 300+ students.
- •Responsibilities included taking labs and tutorials, problem setting and evaluation for assignments and tests.
- •Mentored students in programming concepts and mathematical foundations for computer science.
Education
CGPA: 8.43/10
CBSE: 95.4%
CBSE: 97%
Positions of Responsibility
Marketing Team Head
Felicity Core, IIIT Hyderabad
Apex Member
APEX Body, IIIT Hyderabad
Club Coordinator
The Dance Crew, IIIT Hyderabad
Social Media Team
IIIT Hyderabad
Aakash House Captain
Cultural Council, IIIT Hyderabad
Head Girl
Class X, VTCS
House Vice Captain
Class IX, VTCS
Achievements
Recognition for technical excellence and innovation
First inventor on "Generating Contextually Grounded Recommendations using a Large Language Model"
Selected among top 3,000 from 61,000+ applicants; attended live sessions by Amazon scientists on deep learning, CV, RL, and NLP.
Ranked 1st in the AI/ML track among 259 global teams across 57+ countries; built an AI-driven solution in 48 hours.
Selected to attend the largest student-led Women in Tech conference.
Among the top 75 female candidates selected from premier Indian colleges for technical excellence.
Full merit-based scholarship for academic and technical distinction.
Recognized for academic distinction in Spring and Monsoon 2020 at IIIT Hyderabad.
Qualified Science Talent Search Examination held by Dr. AS Rao Awards Council.
Secured second position in the exhibition organized by Defence Research and Development Organization.
Secured first position in Regional Level CBSE Science Exhibition 2017 under Agriculture and Food Safety theme and qualified for nationals.
Qualified JEE Mains with 99.5%ile and was in top 0.06% out of 1.5 Lakh candidates for JEE Advanced.
Projects
Personal projects showcasing my technical skills and creativity
Full-stack expense management system with modular Go backend and PostgreSQL database.
Built responsive React dashboard with analytics and category insights, implemented REST APIs with CRUD, filtering, and pagination.
Voice-enabled medical assistant with real-time symptom-based diagnosis via phone calls.
Developed secure web app with JWT-authenticated Flask backend and responsive UI using voice and ML APIs.
CLI tool to track COVID-positive individuals and their contacts across stations.
Built system to assign safe and shortest paths between high-risk stations using advanced data structures.
Modular bash-like shell supporting command execution, I/O redirection, and piping.
Developed using Linux system calls with directory navigation, signal handling, and comprehensive shell features.
Multivariate time series forecasting to predict medal counts for Paris 2024.
Performed comprehensive data analysis and visualization, hosted website with interactive dashboards.
Hybrid recommendation system combining Collaborative and Content-Based Filtering.
Enhanced personalization using user-based collaborative filtering and content-based filtering (genre, cast, etc.).
Eigenfaces and Fisherfaces algorithms for face recognition using PCA and LDA.
Achieved 95% accuracy on AT&T faces dataset and 90% on No-Face dataset using advanced ML techniques.
Get In Touch
I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology and innovation.