Farhan Ahmad

Academic

Verbatim text

Farhan Ahmad
+923219816746, farhanahmadmalik08@gmail.com
Phase 7, Bahria Town, Rawalpindi
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Linkedln: www.linkedin.com/in/farhan-ahmad-7a1322216
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'=ducation
AST - National Universitv of Comouter and Emere:ine: Sciences Islamabad.
Bachelor of Science (Computer Science)
Major:
eie~erative Al, Statistical Modeling, MLOPS, Linear Algebra, Differential Equations, Computer
1s1on.
azaia Inter College Kallar Kahar
Cs(Physics, Computer, Mathematics)
azaia Inter College, Kallar Kahar
Matriculation (Physics, Chemistry, Computer Science)
'Projects
.. inal Proiect: Littlelearner (Voice Interactive Tutor app for kids)
iJnder noise conditions. Also works well with short speeches, fixing hallucination problems.
"PmP<:ter PrniPcts:
PncologyPro:
Developed OncologyPro, a model using K-Means Clustering for precise cancer detection in humans.
'3enerative Al for Music Composition using LSTM and VAE:
Developed Generative Al models for music composition using LSTM and VAEs.
NeuroOS: Parallel Neural Network Operating System:
: ++project showcasing parallel computing in neural network training through separate processes and threads
Work Experience
~I Engineer (Practice EHR):
Jan 2025 - Present
enhanced Al search capabilities for efficient handling of medical queries and automated the
~eneration of ICD and CPT codes to streamline billing processes. Additionally, I developed vision
models for automated data entry from medical documents and ensured the integration and
ompliance of Al solutions within EHR systems.
Junior ML Engineer (sudoTrek):
Used Al/ML to optimize Data Warehousing Tasks. Handle Large amounts of data.
Jan 2024 - May 2024
~I Intern (AIO: Stealth Startup):
June 2024 - Sept 2024
engaged in NLP preprocessing and model development using LLMs like BERT and Llama for Al-driven
ommunication tools in the restaurant ecosystem, deploying machine learning models using FastAPI
~nd Docker for scalability.
~kills & Tools
~rofessional Skills
eadershiP. lntemersonal Skills Communication Team work.
lrechnical Skills
:Jenerative Al (Transformer, Diffusion Models), LLMs (GPT, Llama, BERT), Machine Learning and Deep
earning (PyTorch, TensorFlow, Predictions, Linear Algebra, Probabilities), Natural Language Processing
Lang-Chain, Embeddings, ASR (Whisper)), Model Optimization (Knowledge Distillation, Model
:J.uantizationl. Pvthon IFastAPI FLASK). DevOos lDockerl Comouter Vision (CNNs YOLO}
'Achievements
Dean's List of Honor Spring 2024
Dean's List of Honor Fall 2024
rrainings I Certification
f)pecialization of Machine learning by Stanford.
~ enerative Al with Large Language Models
'nterests
~ricket, Chess, Table Tennis, Spending time with Nature.
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