May 2022 – Apr 2025 · 2 yrs 11 mos · Ahmedabad, Gujarat, India

• ▪️Design and/or delivery of solutions, assets, and content at sustainable AI.
• ▪️Apply methodology and governance around project development.
• ▪️Document and articulate clear understanding of customer/partner success criteria.
• ▪️Apply critical thinking, technical knowledge, customer/partner insights to solve problems with industry methodologies, and frameworks.
• ▪️Collaborate with IBM and AWS specialists to design and build complex enterprise solutions with foundation of Red Hat Open Shift, AWS Infrastructure, and IBM Software technology.
• ▪️Standardize solutions in accordance with the AWS Well-Architected Framework across all pillars, including operational excellence, security, performance efficiency, cost optimization, and reliability.
• ▪️Define, lead, and execute architecture design workshops and white-boarding sessions to build implementation plans.
• ▪️Develop deep relationships with key customers through solution integration to drive long-term IBM and AWS adoption.
• ▪️Team well with our key IBM & Red Hat business units, and strategic partners to support our partnership.
• ▪️Consult as a subject matter expert on our IBM/AWS technology and services portfolio.
• ▪️Author use cases, reference architectures, blog posts, and other field and external content.
• ▪️Work in sandbox environments to demonstrate IBM Hybrid Cloud Capabilities with AWS.
• ▪️Led the design and automation of tasks in Oracle HCM using Generative AI and LLMs, streamlining HR processes and enhancing efficiency.
• ▪️Mentored junior and senior scientists, guiding their development and ensuring successful project execution.
• ▪️Developed production code and championed best coding and engineering practices in AI and machine learning projects.
• ▪️Identified and mitigated risks in AI project execution, ensuring successful business and technical outcomes.
• ▪️Collaborated with product managers and technical leaders to ensure timely and successful delivery of AI models and services.

Feb 2022 – Mar 2022 · 1 mo · Pune District, Maharashtra, India

• Teaching Computer vision to M.tech Students.
• Topics I teach:
• 𝗕𝗮𝘀𝗶𝗰𝘀 𝗼𝗳 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴
• Image Acquisition, Sampling, Quantization, Difference in Monochrome and Multichrome imaging, the concept of color spaces, point processing techniques, mask processing methods, image filtering, shape in images, edge detection, gradient operators- Roberts, Sobel, Prewitt, Canny, Slope magnitude method, morphological image processing, erosion, dilation, opening, closing, hit-n-miss transform, thinning, Top Hat transformation, Bottom hat transformation
• 𝗜𝗺𝗮𝗴𝗲 𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗥𝗲𝗴𝗶𝗼𝗻 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀
• Shape Descriptors-contour based, region-based, Boundary based; Thresholding based segmentation, Watershed based Segmentation, Gray level Co-occurrence Matrix-energy, entropy, maximum probability, contrast, correlation; wavelets, wavelet Pyramids, Image matching,
• Hough Transform, RANSAC, Large-scale retrieval: Spatial Verification, TF-IDF, Query Expansion, feature encoding, Crowdsourcing, and Human Computation, Corners - Harris and Hessian Affine, Orientation Histogram, SIFT, SURF, HOG, GLOH, Scale-Space Analysis- Image Pyramids and Gaussian derivative filters, Gabor Filters and DWT.

Jun 2020 – Sep 2021 · 1 yr 3 mos · Ahmedabad, Gujarat, India

• TensorFlow Developer Certificate Guide :
• https://www.amazon.in/TensorFlow-Developer-Certificate-Comprehensive-Guide-ebook/dp/B0BVMQ1TZS

Apr 2020 – May 2022 · 2 yrs 1 mo · Ahmedabad, Gujarat, India

• Interact with customer and come up with use-case’s on ML/AI and use the same in
• solution integration on existing business.
• Selecting features, building, and optimizing classifiers using machine learning techniques.
• Develop and test Computer vision algorithms to edge devices and advanced hardware systems created.
• Develop and evaluate state-of-the-art computer vision algorithms for real-time edge devices
• and other hardware devices.
• Perform technical performance benchmarking and analyses to support engineering decisions
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building
• analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Participate in design reviews.
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Research and devise innovative statistical models for data analysis
• Work as the lead data strategist, identifying and integrating new datasets that can be
• leveraged through our product capabilities and work closely with the engineering team to
• strategize and execute the development of data products.
• Collaborate with product design and engineering to develop an understanding of needs
• and Quality.
• Analyse data for trends and patterns and Interpret data with a clear objective in mind.
• Provide deep learning and machine learning base solutions to Solve varies Real world
• problem.
• Projects : Semantic Segmentation, Image classification, 3d Sementic Segmentation, Few-shot Image Classification, Object detection, Image Quality Assessment, Pose Estimation, Key-point Detection, Image Augmentation, Super Resolution

Jan 2020 – May 2020 · 4 mos · Ahmedabad, Gujarat, India

Nov 2019 – Aug 2020 · 9 mos · New York, United States

Sep 2019 – Feb 2020 · 5 mos · Ahmedabad, Gujarat, India

• Collaborated with business teams to gather and analyze requirements, ensuring 100% alignment with organizational objectives and delivering solutions that met strategic goals.
• Enhanced training datasets using advanced image augmentation techniques, improving model robustness and achieving a 15% increase in classification accuracy.
• Leveraged Transfer Learning methodologies, repurposing pre-trained models to deliver 25% faster development cycles while achieving notable accuracy improvements across multiple tasks.
• Implemented state-of-the-art deep learning models for image classification, extracting meaningful insights from complex datasets and enabling 98% accuracy in production systems.
• Validated and fine-tuned models on extensive datasets containing thousands of images, ensuring 99% reliability and seamless deployment in real-world applications.

Jan 2018 – Sep 2019 · 1 yr 8 mos · Ahmedabad Area, India

• Data mining using state-of-the-art methods.
• Hands-on experience in selecting features, building, and optimizing classifiers using machine-learning techniques.
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Doing ad-hoc analysis and clearly presenting results.
• Creating anomaly detection systems and constant tracking of its performance.
• Having strong knowledge in Statistics, Feature Engineering, Model Selection, Model Evaluation, and Feature Scaling to build accurate machine learning.
• Experience in tuning and optimize ML/DL model for performance improvement.
• Hands-on experience working with live projects on different machine learning techniques.
• Having strong problem-solving capabilities.
• Working with most demand industrial technology Framework like pandas, numpy, matplotlib, nltk(NLP), Keras(Deep Learning, tensor flow scikit learn(Machine learning), open cv
• Projects: Image Classifications, Facial Expression Recognition, Recommendation system, Predictive Modeling, Regression Analysis

Dec 2016 – Dec 2017 · 1 yr · Greater Ahmedabad Area

• ● Research raw data and disseminate easily understood insights to provide organizational direction.
• ● Produced a company guidelines and best practices document based on consumer insight analysis.
• ● Performed regular web scraping to synthesize data.
• Project: Image Classification, Seasonality Trends Analysis, Recommendation System

Dec 2015 – Dec 2016 · 1 yr · Greater Ahmedabad Area

• Led the delivery of comprehensive academic programs, integrating theoretical instruction with hands-on laboratory sessions, which improved student engagement and learning outcomes by 25%.
• Mentored and guided 15+ master’s students through complex thesis projects in Data Mining and Deep Learning, with 100% completion rates and several projects presented at prestigious academic conferences.
• Spearheaded collaborative research initiatives, empowering students to explore and implement cutting-edge technologies, resulting in 5+ published papers in peer-reviewed journals.
• Provided expert mentorship throughout academic projects, helping students clarify objectives, overcome research challenges, and achieve recognition for excellence in thesis work.

May 2015 – Dec 2015 · 7 mos · Greater Ahmedabad Area · On-site

• Delivered dynamic and industry-relevant lectures on Information Technology topics, ensuring alignment with academic standards and improving student engagement by 20% through innovative teaching methods.
• Designed and updated course materials, including assignments and assessments, integrating the latest trends and technologies, resulting in a 15% improvement in student performance metrics.
• Mentored 50+ students in academic and career pursuits, guiding them on coursework, research projects, and career planning, with 90% of students achieving successful placements or higher academic progression.
• Spearheaded workshops, seminars, and guest lectures, collaborating with industry professionals to enrich the curriculum and provide students with real-world insights and skills, enhancing job readiness.

Jul 2011 – Aug 2013 · 2 yrs 1 mo · Ahmedabad · On-site

• Led the development and deployment of machine learning models for predictive analytics, delivering optimized solutions that improved operational efficiency by 18%, directly contributing to product enhancements.
• Spearheaded the design and integration of Natural Language Processing (NLP) algorithms, enhancing text classification and sentiment analysis capabilities, which resulted in a 25% improvement in content-driven decision-making.
• Collaborated with cross-functional teams, including product managers and software engineers, to translate business needs into AI-driven solutions, ensuring seamless model integration into existing platforms and workflows.
• Innovated data preprocessing techniques to improve model accuracy, reducing data preparation time by 30% and increasing the reliability of machine learning outputs across multiple projects.
• Conducted rigorous research into emerging AI technologies, applying findings to refine algorithms and boost model performance by 20%, ensuring that AI solutions met evolving industry standards.
• Designed and optimized core machine learning algorithms (SVM, Decision Trees, k-Means Clustering), leading to the delivery of scalable, high-impact AI solutions that addressed key business challenges.
• Authored detailed documentation on machine learning processes, methodologies, and best practices, ensuring knowledge transfer across teams and maintaining consistency in model development.