Sameer Memon — Data Scientist

I am a graduate student in Computational Data Science at Carnegie Mellon University, with a strong foundation in applied machine learning, computer vision, and scalable AI systems. Previously, I've worked in data science roles in FinTech and enterprise software, where I deployed statistical models, built end-to-end ML pipelines, and implemented production AI systems that delivered measurable business impact. At AltoMeta Consulting, I architected comprehensive Python Flask/SQL systems with Redis caching that achieved 35% performance improvements over legacy Excel solutions. I integrated advanced statistical analytics including ARIMA/SARIMAX and ANOVA forecasting models into Django backend infrastructure, and developed end-to-end Earnings Call Analyzer systems leveraging LLMs and RAG architecture with vector databases for automated financial transcript analysis. During my MITACS research internship at University of Waterloo, I developed advanced computer vision systems for automated pavement crack detection, training multiple deep learning models including VGG-16, ResNet-18, EfficientNet, and MobileNet. I configured Intel RealSense Depth Cameras and LiDAR sensors through ROS to construct comprehensive multi-modal datasets. As a research contributor, I've published work in IEEE conferences on computer vision applications and presented at international conferences on concept extraction methods using advanced NLP techniques. I'm currently seeking Summer 2026 internship opportunities where I can apply my expertise in AI, LLMs, computer vision, and scalable architecture to tackle challenging problems in research or production environments. My interests lie in generative AI, multi-agent systems, computer vision applications in biology, and scalable ML inference systems. Core Skills: Python, TensorFlow, Keras, PyTorch, LLMs, LangChain, Computer Vision, Docker, Flask, Django, ReactJS, SQL, Statistical Modeling Domain Focus: Generative AI · Computer Vision · Financial ML · Multi-Agent Systems · MLOps · Research Applications

Stackforce AI infers this person is a Data Scientist specializing in AI and Computer Vision within the Fintech and SaaS sectors.

Experience: 2 yrs 3 mos

Skills

Python
Django
Software Product Management
Computer Vision
Natural Language Processing

Career Highlights

Architected AI systems with significant performance improvements.
Developed advanced computer vision models for real-world applications.
Published research in IEEE conferences on innovative NLP techniques.

Work Experience

AltoMeta Consulting

Data Scientist (2 yrs)

Zensolve Corporation

Associate Product Manager (3 mos)

University of Waterloo

Research Intern (2 mos)

BMC Software

ML Intern (5 mos)

Omdena

Junior ML Engineer (2 mos)

PureID

SDE Intern (4 mos)

The Wolf Corp

Web Development Intern (8 mos)

ARC Group of Industry

Intern (0 mo)

Education

Master of Science - MS at Carnegie Mellon University

Bachelor of Engineering - BE at Pune Institute of Computer Technology

Sameer Memon

Data Scientist

United States2 yrs 3 mos experience

Key Highlights

Architected AI systems with significant performance improvements.
Developed advanced computer vision models for real-world applications.
Published research in IEEE conferences on innovative NLP techniques.

Stackforce AI infers this person is a Data Scientist specializing in AI and Computer Vision within the Fintech and SaaS sectors.

Contact

Skills

Core Skills

PythonDjangoSoftware Product ManagementComputer VisionNatural Language Processing

Other Skills

FlaskSQLRedisARIMASARIMAXANOVAPandasNumPyScikit-learnLangChainFAISSMilvusSentence-BERTDockerCelery

About

Experience

2 yrs 3 mos

Total Experience

1 yr 1 mo

Average Tenure

Current Experience

Altometa consulting

Data Scientist

Mar 2023 – Mar 2025 · 2 yrs · Pune, Maharashtra, India · On-site

Architected & implemented a Python Flask/SQL stored procedure system with Redis caching for NAV calculation, achieving >35% performance boost over Excel & enhancing accuracy/auditability.
Integrated advanced analytics (ARIMA/SARIMAX, ANOVA, Levenshtein distance) into the Django backend using libraries like Pandas/NumPy/statsmodels/Scikit-learn, improving forecasting & search.
Led end-to-end development of an 'Earnings Call Analyzer' using web scraping, LLMs, and RAG (LangChain, vector DBs like FAISS/Milvus, Sentence-BERT) for automated transcript analysis & summarization, significantly reducing manual effort.
Co-authored 1 research paper on the RAG implementation (accepted, Springer).
Pioneered multi-agent LLM systems (CrewAI, LangGraph) for complex analysis & visualization, leveraging vector DBs, caching, and Graph RAG via Microsoft Outlook integration.
Validated multi-agent systems via POCs, considering microservices integration (Docker, Celery, RabbitMQ) for scalability.

PythonFlaskSQLRedisDjangoARIMA+12

Zensolve corporation

Associate Product Manager

Nov 2022 – Feb 2023 · 3 mos

Contributed to the development of a new CRM product, transitioning core business processes from Excel and managing over 100,000 leads.
Maintained product requirement documentation to effectively communicate upcoming CRM features and product updates internally.
Prepared, maintained, and distributed project reports to relevant stakeholders, ensuring clear communication on CRM development progress.
Proposed a prioritized feature list and timeline estimates for subsequent MVP phases of the CRM product.
Presented product demos of the CRM to stakeholders and cross-functional teams, highlighting its capability to run hundreds of campaigns simultaneously for over 500 users.

WireframingSoftware Product ManagementProduct Lifecycle ManagementProduct Requirement Mapping

University of waterloo

Research Intern

Jul 2022 – Sep 2022 · 2 mos · Waterloo, Ontario, Canada

Addressed pavement crack detection challenges using Computer Vision models during a full-time research internship.
Trained and evaluated multiple deep learning models for crack detection, including VGG-16, ResNet-18, EfficientNet, and MobileNet.
Utilized Intel Realsense depth cameras and LiDAR sensors, configured via ROS (Robot Operating System), to construct comprehensive datasets for model training and validation.

Computer VisionDeep LearningVGG-16ResNet-18EfficientNetMobileNet+3

Bmc software

ML Intern

Jan 2022 – Jun 2022 · 5 mos · Pune, Maharashtra, India

Focused on enabling Anomaly Detection in network device configurations for the TrueSight Network Automation product during a part-time internship.
Employed Natural Language Processing (NLP) techniques for configuration file extraction, dataset creation, data preprocessing, and grouping methods.
Implemented and trained multiple models for anomaly detection, including BERT, Word2Vec, and Doc2Vec.

Natural Language ProcessingBERTPythonPandas

Omdena

Junior ML Engineer

Aug 2021 – Oct 2021 · 2 mos

Created a product that automates the process of quantifying the economic impact of a particular indigenous endangered species, driving growth in their conservation efforts.
Led the data collection and parsing team, responsible for a decrease of manual efforts by about 30%, using Beautiful Soup and Selenium.

Pureid

SDE Intern

Apr 2021 – Aug 2021 · 4 mos

Developed a desktop application (Electron.JS, NodeJS, ReactJS) enabling offline authentication using ECDSA signatures, Diffie-Hellman Exchange, and AES encryption.
Built a full-stack admin application serving as a gateway for non-SAML service providers, facilitating user, group, and application management.
Contributed to developing an in-house Python library to streamline SAML authentication configuration.

The wolf corp

Web Development Intern

Aug 2020 – Apr 2021 · 8 mos · Pune, Maharashtra, India

Worked with PHP, JS and developed websites for clients from various backgrounds with Frameworks like Wordpress, Laravel etc. This opportunity gave me exposure to Client interaction.