Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Shoyab Ali Mohammed, an AIML engineer with around 4 years of experience building and deploying reliable machine learning and AI solutions in production environments. I enjoy turning complex data into practical, business-focused AI features that improve automation, intent understanding, and decision support. I have a strong track record of delivering scalable, API-based ML services and ensuring solutions meet enterprise quality, security, and compliance standards. I’m a collaborative cross-functional partner who thrives on turning ambiguity into value-driven AI capabilities. I’ve worked across teams to translate business needs into production-grade AI services, optimize model performance and latency, and implement explainability and auditability to build stakeholder trust. I’m passionate about applying LLMs responsibly, designing robust pipelines, and continuously improving processes to deliver measurable impact for customers and users.…Hi, I’m Shoyab Ali Mohammed, an AIML engineer with around 4 years of experience building and deploying reliable machine learning and AI solutions in production environments. I enjoy turning complex data into practical, business-focused AI features that improve automation, intent understanding, and decision support. I have a strong track record of delivering scalable, API-based ML services and ensuring solutions meet enterprise quality, security, and compliance standards. I’m a collaborative cross-functional partner who thrives on turning ambiguity into value-driven AI capabilities. I’ve worked across teams to translate business needs into production-grade AI services, optimize model performance and latency, and implement explainability and auditability to build stakeholder trust. I’m passionate about applying LLMs responsibly, designing robust pipelines, and continuously improving processes to deliver measurable impact for customers and users.

Shoyab Ali Mohammed

AI Engineer, Data Scientist, App Developer, +2





Hi, I’m Shoyab Ali Mohammed, an AIML engineer with around 4 years of experience building and deploying reliable machine learning and AI solutions in production environments. I enjoy turning complex data into practical, business-focused AI features that improve automation, intent understanding, and decision support. I have a strong track record of delivering scalable, API-based ML services and ensuring solutions meet enterprise quality, security, and compliance standards. I’m a collaborative cross-functional partner who thrives on turning ambiguity into value-driven AI capabilities. I’ve worked across teams to translate business needs into production-grade AI services, optimize model performance and latency, and implement explainability and auditability to build stakeholder trust. I’m passionate about applying LLMs responsibly, designing robust pipelines, and continuously improving processes to deliver measurable impact for customers and users.…Hi, I’m Shoyab Ali Mohammed, an AIML engineer with around 4 years of experience building and deploying reliable machine learning and AI solutions in production environments. I enjoy turning complex data into practical, business-focused AI features that improve automation, intent understanding, and decision support. I have a strong track record of delivering scalable, API-based ML services and ensuring solutions meet enterprise quality, security, and compliance standards. I’m a collaborative cross-functional partner who thrives on turning ambiguity into value-driven AI capabilities. I’ve worked across teams to translate business needs into production-grade AI services, optimize model performance and latency, and implement explainability and auditability to build stakeholder trust. I’m passionate about applying LLMs responsibly, designing robust pipelines, and continuously improving processes to deliver measurable impact for customers and users.

Available to hire

Hi, I’m Shoyab Ali Mohammed, an AIML engineer with around 4 years of experience building and deploying reliable machine learning and AI solutions in production environments. I enjoy turning complex data into practical, business-focused AI features that improve automation, intent understanding, and decision support. I have a strong track record of delivering scalable, API-based ML services and ensuring solutions meet enterprise quality, security, and compliance standards. I’m a collaborative cross-functional partner who thrives on turning ambiguity into value-driven AI capabilities.

I’ve worked across teams to translate business needs into production-grade AI services, optimize model performance and latency, and implement explainability and auditability to build stakeholder trust. I’m passionate about applying LLMs responsibly, designing robust pipelines, and continuously improving processes to deliver measurable impact for customers and users.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

AIML Engineer at Coforge, USA

January 1, 2025 - Present

Designed and deployed LLM-driven agent workflows to interpret user intent, dynamically select processing strategies, and generate structured optimization requests, improving automation accuracy and reducing manual intervention by 30%. Implemented standardized prompt templates and configuration layers for LLMs, ensuring consistent inference behavior across multiple AI use cases and reducing prompt-related failures by 25%. Built request-generation pipelines that constructed validated payloads for downstream AI and optimization services, enabling reliable API integrations and eliminating malformed requests in production. Developed pre-flight validation and policy enforcement components to verify inputs, outputs, and compliance constraints prior to execution, supporting explainable and auditable AI decisions in regulated environments. Integrated explainability mechanisms to trace LLM-driven decisions and agent actions, improving stakeholder trust and accelerating issue resolution during au

AIML Engineer at TCS, USA

February 1, 2021 - August 1, 2023

Developed and deployed Python-based ML and NLP models for intent detection, text classification, and decision support, automating 8+ customer-facing and internal workflows and reducing manual processing effort by 35%. Designed modular ML pipelines for data preprocessing, feature engineering, model inference, and validation, improving model deployment reliability by 30% and reducing production rollout time by 25%. Applied advanced NLP techniques (semantic analysis, embeddings, sentiment and intent extraction) on 1M+ unstructured text records, enabling conversational AI capabilities and supporting future LLM-based enhancements. Built optimization and scoring models for enterprise and financial use cases, improving prediction accuracy by 15% and supporting data-driven prioritization and risk assessment decisions. Conducted A/B testing and iterative model optimization across multiple model versions, analyzing precision, recall, F1-score, and ROC-AUC metrics to drive 15% performance improve