App LogoApp name
SZ

Syed Zahoor

Open to work2 years experience

AI Engineer

Bengaluru, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

AI Engineer | Data Scientist

GitHub

Standing Rank

Rank Not Available

Developer Badges

No badges earned yet

Skills & Technologies

43 skills
pythonsqljavajavascripttypescriptlarge language modelsagentic ailanggraphlangchainretrieval-augmented generationprompt engineeringtool callingfunction callingvector databasespgvectorqdrantsemantic searchai agentsmodel evaluationscikit-learntensorflowdeep learningcomputer visionyoloforecastingclassificationfeature engineeringfastapiflaskspring bootrest apismicroservicespostgresqlmongodbmysqldockergitgithubjenkinsci/cdaws ec2reacthighcharts

Work Experience

Data Scientist

Enhancesys Innovations Pvt. Ltd

Jan 2024 - Present Bengaluru, India
  • Led the design and deployment of enterprise AI solutions, owning the lifecycle from requirements gathering through production rollout.
  • Built an AI-powered analytics copilot that translates natural language into SQL queries, enabling business users to access enterprise data without SQL expertise.
  • Designed production Retrieval-Augmented Generation (RAG) pipelines using PgVector and semantic search over enterprise knowledge repositories.
  • Engineered multi -agent AI workflows using LangGraph for reasoning, planning, SQL generation, validation, execution, and response synthesis.
  • Developed scalable backend services using FastAPI, Fl ask, and Spring Boot to integrate AI capabilities into enterprise platforms.
  • Partnered with business stakeholders to translate operational requirements into production-ready AI solutions.
  • Built machine learning models for customer churn prediction, demand forecasting, and revenue forecasting supporting business decision-making.
  • Developed React-based dashboards to surface AI-generated insights and operational metrics.
  • Led MongoDB-to-PostgreSQL migration initiatives to improve data quality and support AI-driven analytics.
  • Supported production deployments through Docker, Jenkins, Git, and CI/CD pipelines while collaborating across engineering teams.

Projects

Enterprise AI Copilot

PythonLangGraphLangChainPostgreSQLPgVectorFastAPIReact
  • Designed and developed an enterprise AI copilot that converts natural language questions into executable SQL queries and business insights.
  • Architected a multi-agent workflow using LangGraph for query planning, SQL generation, validation, execution, and response synthesis.
  • Implemented Retrieval-Augmented Generation (RAG) with PgVector and semantic search to improve answer accuracy over enterprise data.
  • Built scalable REST APIs for seamless integration with enterprise applications and analytics dashboards.
  • Enabled business users to access operational insights without requiring SQL expertise while r educing manual reporting effort.

Enterprise Food Intelligence Platform

PythonYOLOLabel StudioRoboflowOpenCV
  • Developed a scalable computer vision platform for automated food recognition and ingredient classification.
  • Built data ingestion, annotation, and model training pipelines using Grounding DINO, SAM, and YOLO.
  • Designed COCO-based dataset generation and quality validation workflows to accelerate AI model development.
  • Optimized training pipelines for large-scale production datasets while improving annotation efficiency.
  • Contributed to an enterprise AI platform supporting intelligent food analytics and sustainability initiatives.

AI Clinical Decision Support Prototype - Heart Abnormalities

PythonTensorFlowScikit LearnStreamlit
  • Developed a two -stage deep learning pipeline for automated heart sound classifi cation, achieving a validated 98% F1-score.
  • Engineered domain-specific acoustic features that improved diagnostic performance over baseline models.
  • Evaluated multiple deep learning architectures to optimize classification accuracy and robustness.
  • Deployed the solution using Streamlit to enable real-time inference and interactive clinical demonstrations.

Enterprise Forecasting & Decision Intelligence

PythonScikit-learnPostgreSQLReact
  • Developed mach ine learning models for customer churn prediction, demand forecasting, and revenue forecasting.
  • Performed feature engineering, model evaluation, and hyperparameter optimization to improve predictive performance.
  • Integrated predictive models into enterprise dashboards for business planning and operational decision-making.
  • Delivered actionable insights through interactive analytics visualizations and automated reporting workflows.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Publication

Detection of Cardiovascular Abnormalities With Heart Sounds Using Machine Learning, IEEE 2025

About Details

Professional Bio

AI Engineer with 3 years of experience building and deploying enterprise AI applications powered by LLMs, Agentic AI, RAG, and Machine Learning. Experienced in owning AI solutions from discovery through production deployment and collaborating with business stakeholders.

Master of Technology in Artificial Intelligence

REVA University, Bangalore (2023 - 2025)

Bachelor of Engineering in Computer Engineering

University of Kashmir, Srinagar (2017 - 2021)

Languages: English, Hindi