Shoaib Shama — Software Engineer

As a Software Engineer passionate about creating impactful solutions, I combine deep technical expertise with a strong drive for innovation. I hold a B.Tech in Computer Engineering from Delhi Technological University. I have experience developing scalable backend systems, machine learning pipelines, and full-stack applications. At Cult.fit, I built critical backend infrastructure for nationwide operations, automated auditing workflows using computer vision and large language models, and improved operational efficiency significantly. During my internship at Sprinklr, I developed a Customer Effort Score model leveraging Reinforcement Learning with Human Feedback (RLHF) and Transformers, driving substantial improvements in customer satisfaction. My work has been recognized globally—I’ve ranked among the top performers in the Meta Global Coding Challenge (Global Rank 7), EY Data Science Challenge (All India Rank 1), and the IMC Trading Challenge. I am also honored to have been named Emerging Technologist of the Year 2024 as a United Nations Millennium Fellow. I’m proficient across a wide range of technologies, including Machine Learning, Deep Learning, Reinforcement Learning, Spring Boot, Node.js, MERN stack, PyTorch, and TensorFlow, and I enjoy applying these skills to build products that solve real-world problems. Whether it’s designing intelligent systems, optimizing processes, or scaling platforms, I’m driven by the impact technology can make. Let’s connect—I’m always eager to learn, collaborate, and explore new opportunities to innovate.

Stackforce AI infers this person is a Backend-focused Software Engineer with strong expertise in Machine Learning and SaaS solutions.

Experience: 4 yrs 9 mos

Skills

Machine Learning
Backend Development

Career Highlights

Top performer in global coding challenges.
Automated auditing processes saving millions.
Developed machine learning models improving customer satisfaction.

Work Experience

Rippling

Software Engineer - Backend and Machine Learning /AI (1 yr)

Curefit

Software Engineer - Backend and Machine Learning / AI (11 mos)

Nicheby

Co-Founder, CTO (5 mos)

Sprinklr

Software Engineer Intern (AI/ML) (2 mos)

Amazon

Amazon ML Summer School (0 mo)

Publicis Sapient

Finalist - Jumpstart(Publicis Sapient Hackathon) (0 mo)

Pratibimb - The Dramatics and Filmmaking Society of DTU

General sec - Acting and Directions (1 yr 1 mo)

Artist, Writer (1 yr 3 mos)

Google

Google Career Connect 2022 (0 mo)

Creative Concepts

Data Science Intern (2 mos)

IOSD

Member (7 mos)

Education

Bachelor of Technology - BTech at Delhi Technological University (Formerly DCE)

Shoaib Shama

Software Engineer

India4 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Top performer in global coding challenges.
Automated auditing processes saving millions.
Developed machine learning models improving customer satisfaction.

Stackforce AI infers this person is a Backend-focused Software Engineer with strong expertise in Machine Learning and SaaS solutions.

Contact

Skills

Core Skills

Machine LearningBackend Development

Other Skills

Python (Django)LLMs (GPT-4/GPT-4o)AI-driven document parsingData quality improvementSpringBootJavaScriptMachine Learning models (YOLO, VQA LLM)GeminiOPEN AI ML modelsReinforcement LearningHuman FeedbackFeature EngineeringPrompt EngineeringData StructuresDebugging

About

Experience

4 yrs 9 mos

Total Experience

1 yr

Average Tenure

1 yr

Current Experience

Rippling

Software Engineer - Backend and Machine Learning /AI

Jun 2025 – Present · 1 yr · Hybrid

Build Smart AI Document Parser that can parse any document related to the discrepancy of any client of Rippling availing services of Benefit and MarketPlace.
Engineered an AI-driven document parsing and discrepancy detection system using Python (Django) and LLMs (GPT-4/GPT-4o), extracting structured signals from Excel, PDF, and CSV data; built a fully traceable, eval-driven pipeline to score, classify, and prioritize discrepancies, improving data quality and reducing operational resolution time by 90%.
Architected a deterministic task orchestration engine to enforce data invariants and resolve state discrepancies across distributed endpoints; engineered an automated constraint-checking layer that identified structural anomalies, dynamically routed self-healing workflows, and ensured high-fidelity system synchronization at scale.

Python (Django)LLMs (GPT-4/GPT-4o)AI-driven document parsingData quality improvementMachine LearningBackend Development

Curefit

Software Engineer - Backend and Machine Learning / AI

Jul 2024 – Jun 2025 · 11 mos · On-site

Improving Curefit internal ticketing platform Oding by integrating Wooqer using SpringBoot, JavaScript as to increase its efficiency and efficacy by 25% which would induce a faster issue reporting and resolvements.
Successfully replaced human intervention by automating camera in all cult centre using Machine
Learning models YOLO and VQA LLM to catch different aspect of audit team which helped them
increase accuracy of audit by 40% saving curefit annual cost of 5 Million INR.
Successfully automated centre closing of all cult centre by automating the entire flow using
Gemini and OPEN AI ML models reducing redundant work and saving annual cost of 3 Million INR.
Analyzed Google My Business (GMB) call data for Cult Fit centers to identify and categorize incoming customer inquiries, and built a machine learning model that classified calls into hot and cold leads, enabling Center Managers to prioritize high-conversion prospects. This solution streamlined lead follow-up and improved customer engagement, resulting in an 80% increase in revenue for the targeted center.

SpringBootJavaScriptMachine Learning models (YOLO, VQA LLM)GeminiOPEN AI ML modelsBackend Development+1

Nicheby

Co-Founder, CTO

Jan 2024 – Jun 2024 · 5 mos

Sprinklr

Software Engineer Intern (AI/ML)

May 2023 – Jul 2023 · 2 mos · Gurugram, Haryana, India · On-site

Customer Effort Score using Reinforcement Learning Using Human Feedback
Worked with AI team of Sprinklr to build CES to increase the customer issue resolution by 60% which in turn would
increase the customer loyalty for a company by 94%, which induce an increased revenue by 30%.
Revitalized on meta dataset and conducted feature engineering to extract relevant customer interaction data such as
call duration chat logs and ticket resolution time as to prepare dataset for training the model for CES.
Pioneered Prompt Engineering to extract features from the developed dataset for training model.
Build the CES model using the Reward Model of RLHF (Reinforcement Learning with human feedback).
Invented and Induced formula to calculate CES by experimenting with an accurate score of about 92%.
Implemented the whole CES model with multi-Task learning as the improvised version of previously implemented
model.

Reinforcement LearningHuman FeedbackFeature EngineeringPrompt EngineeringMachine Learning

Amazon

Amazon ML Summer School

Jul 2022 – Jul 2022 · 0 mo · Delhi, India

Selected among 20K student to attend Machine Learning Summer School program where ML breadth and depth were taught to us by leading Machine Learning Scientist at Amazon and to help us building career at Amazon Science .

Artificial Neural NetworksTensorFlowNeural Networks

Publicis sapient

Finalist - Jumpstart(Publicis Sapient Hackathon)

Jul 2022 – Jul 2022 · 0 mo · Delhi, India

Reached the Finals of the Hackathon Organised by Publicis Sapient among 30K student all over India .

C++Data Structures

Pratibimb - the dramatics and filmmaking society of dtu

2 roles

General sec - Acting and Directions

May 2022 – Jun 2023 · 1 yr 1 mo

Artist, Writer

Jan 2021 – Apr 2022 · 1 yr 3 mos

Google

Google Career Connect 2022

Apr 2022 – Apr 2022 · 0 mo · Delhi, India

Selected among 100 students in India to attend workshops to build your resume, practice your interviewing skills, network with Googlers, and learn more about our programs in google .
Won the 1 prize in the quiz conducted by google in this program .