Industry Practice & Roles
Work Experience & Engineering Milestones
Real-world backend software development, high-throughput microservices, and applied AI systems.
AI/ML Intern
InternshipCreative Web InfotechSurat, Gujarat, IndiaDecember 10, 2025 – January 09, 2026
Completed industrial internship and on-the-job training facilitated through Sutex Bank College. Awarded Grade O (Outstanding, 48.5/50 marks) (Certificate ID: CWI20261200) under supervisor Haresh Shiyani for engineering predictive classification pipelines in Python and optimizing relational schemas in MySQL.
Core Engineering Contributions:
- Machine Learning Development: Developed and implemented predictive classification and regression models in Python to address empirical data analysis tasks.
- Data Engineering: Performed rigorous data preprocessing, null imputation, and feature engineering to optimize model accuracy and reduce training variance.
- AI Integration: Collaborated on integrating ML model inference into web-based platforms, bridging core algorithm logic with user interfaces.
- Research & Evaluation: Evaluated various supervised algorithms and Python libraries to determine optimal trade-offs between latency and recall.
- Technical Documentation: Formulated comprehensive documentation covering model architectures and evaluation metrics for reproducibility.
Verified Deliverables
- • Awarded Grade O (Outstanding, 48.5/50 marks) evaluated by industry reviewers.
- • Official Completion Certificate on file (ID: CWI20261200).
PythonPandasNumPyScikit-LearnClassification ModelsFeature EngineeringMySQL
Virtual Data Science with Python Apprentice Intern
InternshipYuvaIntern (Henry Harvin Education)RemoteJuly 23, 2026 – August 27, 2026
Completed virtual internship program in Data Science & Python programming. Awarded official Certificate of Experience (Certificate No: YI/2026/135101/332365) signed by Kounal Gupta for structured exploratory data analysis (EDA), statistical distribution plotting, and automated data processing pipelines.
Core Engineering Contributions:
- Conducted exploratory data analysis (EDA), outlier detection, and data cleansing across complex tabular datasets.
- Implemented statistical summaries, correlation heatmaps, and distribution plots using Matplotlib & Seaborn.
- Assisted in developing automated data transformation scripts and validating dataset integrity against schema standards.
Verified Deliverables
- • Awarded official Certificate of Experience (ID: YI/2026/135101/332365).
- • Official Offer Letter on file (Ref: YI/2026/135101).
PythonData CleaningStatistical AnalysisMatplotlibSeabornEDA
Virtual Data Science Explorer Intern
InternshipYuvaIntern (Henry Harvin Education)RemoteJuly 23, 2026 – August 20, 2026
Completed foundational internship track as a Data Science Explorer. Awarded official Certificate of Experience (Certificate No: YI/2026/135101/332312) signed by Kounal Gupta for hands-on data exploration, mathematical array operations with NumPy & Pandas, and visual analytics.
Core Engineering Contributions:
- Performed hands-on data manipulation, filtering, and aggregation using Pandas & NumPy.
- Analyzed multidimensional data structures and generated visual reports for empirical observations.
- Verified data pipelines and contributed to dataset hygiene protocols.
Verified Deliverables
- • Awarded official Certificate of Experience (ID: YI/2026/135101/332312).
- • Official Selection & Offer Letter on file (Ref: YI/2026/135101).
PythonNumPyPandas BasicsData ExplorationVisual Analytics
Emerging Technologies Intern (AI & Cloud)
InternshipEdunet Foundation & AICTE (IBM SkillsBuild)Remote / IndiaAugust 17, 2026 – September 11, 2026
Selected through the AICTE Internship Portal (Student ID: STU6a4fa5579627b1783604567) for a specialized program in Emerging Technologies (AI & Cloud) leveraging IBM SkillsBuild & IBM Cloud enterprise architectures.
Core Engineering Contributions:
- Completed foundational learning tracks in artificial intelligence architectures, machine learning concepts, and cloud service models.
- Earned verified IBM SkillsBuild credentials in AI fundamentals and cybersecurity defense principles.
- Participated in virtual technical labs and explored hands-on code troubleshooting in cloud sandboxes.
Verified Deliverables
- • Official AICTE & Edunet Foundation Internship Offer Letter on file (Signed by Nagesh Singh, Chairman).
- • Earned verified Credly badges in Artificial Intelligence and Cybersecurity.
IBM Cloud PlatformIBM SkillsBuildArtificial IntelligenceCloud ArchitecturePython
AI Research Intern
InternshipUptoSkillsRemote / IndiaSeptember 18, 2026 – December 18, 2026
Appointed as AI Research Intern (Ref No: US/HR/2026/181T8C) reporting to Shivam Agarwal. Focuses on applied AI research, REST API integrations, and machine learning pipeline development with FastAPI and Python 3.11.
Core Engineering Contributions:
- Researching state-of-the-art applied machine learning architectures and vector search paradigms.
- Prototyping FastAPI backend microservices with strict Pydantic schema validation.
- Collaborating on data engineering workflows and AI benchmark evaluations.
Verified Deliverables
- • Official Appointment Letter on file (Ref: US/HR/2026/181T8C).
Python 3.11FastAPIMachine LearningREST APIsData Pipelines
Competitive Hackathons
Hackathon Submissions & Track Recognitions
Build with AI • Generative AI & Foundation ModelsCertificate of Appreciation • Verified Generative AI Challenge 4 Submission (ID: 2026H2S07PWVCHL4-A00792)
PromptWars Virtual • Google for Developers & Hack2Skill
Project: Generative AI Solution Challenge 4 • August 25, 2026
Problem & Solution: Designed and submitted a verified Generative AI pipeline utilizing structured prompt engineering, output schema validation, and API integration for automated domain problem solving.
Generative AIGoogle Cloud AIPrompt EngineeringPythonRESTful APIsLLM Workflows
Artificial Intelligence & Open Innovation TrackCertificate of Secure Top 200 (Verified via GoCertiflo)
Hacklabify V1.0 • Sillionona Technologies
Project: SkillSync AI: Intelligent Talent Match & Predictive Skill Analytics • August 2026
Problem & Solution: Engineered an NLP-powered skill assessment engine that compares candidate skills against industry datasets using TF-IDF vectorization and cosine similarity, categorizing missing skills into an actionable learning path.
PythonScikit-learnTF-IDF VectorizationCosine SimilarityStreamlitPandas