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Thursday, December 25, 2025
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CURRICULUM VITAE

Resume & Professional Profile

AHMED MULLA

Data Scientist • Machine Learning Engineer • AI Researcher
📧 contact@ahmedmulla.com•🔗 linkedin.com/in/ahmed-mulla•💻 github.com/MullaAhmed

PROFESSIONAL SUMMARY

Results-driven Data Scientist with proven expertise in AI and machine learning, specializing in NLP, computer vision, and quantum algorithms. Currently transforming job search technology at CareerFlow.ai with 30% automation increase. Published researcher (Annals of Operations Research, RSNA 2023) combining academic rigor with industry impact. Achieved AIR 3 in NASSCOM competition demonstrating excellence in predictive modeling. Passionate about applying cutting-edge AI to solve real-world challenges.

PROFESSIONAL EXPERIENCE

Data Scientist

May 2024 – Present
CareerFlow.ai • San Francisco, USA
  • Led end-to-end development of the platform's most widely-used feature processing 100,000+ daily operations with 15-second average optimization time. Spearheaded development of flagship AI-powered tool that revolutionized the platform's automation capabilities.
  • Architected and deployed resume AI chat agent enabling natural language interaction with platform tools. Architected and deployed multiple AI-driven functionalities including automated cover letter generation and interview question prediction.
  • Engineered custom LLM framework supporting cross-provider integration (OpenAI, Anthropic, Google) with built-in monitoring, achieving 5x latency improvement (25s → 5s) and 35% reduction in token consumption.
  • Fine-tuned domain-specific large language models on curated dataset of 500,000+ professional resume samples using LoRA/PEFT techniques, achieving 30% performance improvement across key metrics.
  • Lead development of core AI functionalities and NLP systems
  • Design and implement machine learning models for resume analysis

Data Engineering Intern

Feb 2024 – May 2024
CareerFlow.ai • San Francisco, USA
  • Designed and implemented scalable ETL data pipeline using Apache Airflow and Google BigQuery, automating data ingestion from multiple sources and enabling real-time analytics dashboards.
  • Developed high-performance ensemble model combining NLP techniques and transformer architectures to parse unstructured job descriptions into structured data with 95% accuracy in under ~400 ms.
  • Architected migration of legacy AI services to FastAPI-based microservices architecture, improving API response times by 60%, enhancing system scalability to handle 3x traffic spikes.

Analyst Intern

June 2023 – August 2023
Wells Fargo • Hyderabad, India
  • Engineered advanced NLP pipeline using Python, vLLM, and LDA topic modeling to analyze 1,000,000+ customer service call transcripts, extracting actionable insights on pain points and recurring issues.
  • Developed automated sentiment analysis and complaint categorization system using transformer-based language models, enabling real-time identification of critical customer issues.
  • Built predictive analytics model to forecast customer complaint trends and identify high-risk interaction patterns, contributing to 260% reduction in average response time.
  • Design and implement ML automation for compliance workflows
  • Develop pattern recognition systems for regulatory compliance

AI Intern

April 2023 – June 2023
Openfabric AI • Bucharest, Romania
  • Developed and published AI applications for a decentralized marketplace. Built an avatar generator utilizing stable diffusion and ControlNet for image-to-image translation.
  • Worked on a crypto trading bot, applying AI algorithms for optimized trading strategies.
  • Collaborated on Deck Generator to create presentations from text prompts and an avatar generator for animated characters.
  • Develop AI applications for decentralized marketplace
  • Design ML models for distributed network execution

Full-stack Development Intern

Jan 2023 – March 2023
Unacademy
  • Developed and implemented a lightweight 360 feedback system, optimizing corporate review process by 40%. Capable of accommodating up to 50,000 concurrent users.

AI Engineer

Nov 2021 – July 2022
Manentia AI
  • Created neural networks for chest cancer classification which achieved high accuracy and later turned into a patent. Worked with retinal fundus images for Glaucoma detection.

EDUCATION

Bachelor of Technology in Computer Science Engineering

GPA: 9.59/10.0
Pandit Deendayal Energy University • Sept 2020 – May 2024

Focus Areas: Computer Science Engineering • Machine Learning Specialization

Advanced Coursework: Data Mining, Advanced Calculus, Discrete Mathematics, Applied Data Analysis and Machine Learning, Artificial Intelligence, Digital Image Processing, Computer Vision, Pattern Recognition, Introduction to Quantum Computing, Internet of Things

Higher Secondary Education (Grade 11 and 12)

GPA: 94.1/100
The Aditya Birla Public School • April 2018 – April 2020

Advanced Coursework: Programming with Python, Thermodynamic, Kinetics, Organic & Inorganic Chemistry, Calculus

ACHIEVEMENTS & RECOGNITION

1st Position Research Symposium 2023, PDEU

Portfolio Optimization Using Quantum Algorithms demonstrating VQE achieving 80% outperformance.

AIR 3 NASSCOM Academic Grand Challenge 2022

Predictive analytics for financial market crash prediction (Wells Fargo).

Top 50 Samsung Solve For Tomorrow 2022

Autonomous drone to analyze agricultural crops & land.

AIR 6 ProGeeks Cup 2021

Innovative project evaluation on technical implementation and social impact.

TECHNICAL SKILLS

Languages

Python, JavaScript, C/C++, Java, SQL, R

ML Frameworks

TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face

AI Domains

Natural Language Processing, Computer Vision, Deep Learning, Reinforcement Learning

Specialized

Quantum Algorithms (Qiskit), Medical Imaging AI, Financial ML, MLOps

Tools

Git, Docker, Kubernetes, AWS, GCP, Apache Kafka, MongoDB, PostgreSQL

Libraries

Pandas, Matplotlib, Numpy

Key Achievements

★ AIR 3 ★
NASSCOM Challenge

ISRO Research Internship (2024)

Mitacs Globalink Research Internship (2023)

Google ML Bootcamp Mentee (2022)

Amazon ML Summer School Mentee (2022)

SSIP Grant Recipient (2022)

PUBLICATIONS

Deep Learning Techniques for Accurate Classification of Rice Diseases: A Comprehensive Study

IntelliSys 2024, 2024

Glaucoma Classification Using Deep Learning and Image Processing

IEEE CVMI 2023, 2023

Optimizing Large Language Model Augmented Speech Recognition for Radiology Reporting

RSNA 2023, 2023

A Comparative Analysis of Speech Recognition Pipelines Augmented by LLMs for Radiology Reporting

RSNA 2023, 2023

A Novel Methodology for Perception-Based Portfolio Management

Annals of Operations Research 2022, 2022

5
Total Publications

"Building AI Systems That Transform Industries"