About me

Completed my M.S. in Computer Science at Rutgers University (GPA: 3.65), I specialize in production AI engineering, data pipelines, and LLM-based automation. My work spans real-time inference systems, large-scale ETL infrastructure, and enterprise compliance agents.

My capstone project, Core Sentinel, is a Windows AI agent that monitors activity in real time, runs local ONNX-quantized TinyBERT inference, and enforces HIPAA, FERPA, and SEC compliance guardrails — achieving sub-100ms end-to-end latency with zero data exfiltration. At Code-blue AI (UC Berkeley–affiliated), I designed and shipped real-time multimodal detection systems achieving 98.9% model accuracy in production. At Rutgers, I am architecting automated NLP pipelines across a 27-year SEC EDGAR financial archive on HPC infrastructure.

Beyond engineering, I manage analytics for a platform serving 75,000+ active users across 4 countries, led a GitHub Copilot rollout that delivered a 20% efficiency improvement for a corporate client, and grew Paid Social acquisition 3× within 18 months through data-driven optimization.

Stack: Python, SQL, C++, AWS, GCP, Docker, ONNX, LLMs, NLP, LangChain, RAG pipelines, ETL, Power BI, Shell Scripting

Published researcher — IEEE ICRITO 2024 (Best Paper Award). President, Rutgers Graduate Student Organization. AWS Solutions Architect Associate (Expected April 2026). Actively targeting full-time roles in AI Engineering, ML Infrastructure, and Data Engineering — available immediately.

What I'm Doing

  • Production AI & ML

    Real-time inference, ONNX-quantized models, LLM and RAG pipelines, LangChain, and shipping multimodal systems to production with measurable accuracy and latency targets.

  • Compliance & Guardrails

    Enterprise agents and desktop tooling aligned with HIPAA, FERPA, and SEC-style policy: local inference, zero exfiltration, and sub-100ms guardrails where the workload demands it.

  • Data Pipelines & Cloud

    Large-scale ETL on AWS and GCP, Dockerized services, HPC-oriented batch jobs, and automated NLP over long-horizon archives (e.g., multi-decade regulatory filings).

  • Analytics & Impact

    GA4 and marketing analytics at scale, executive-facing reporting with Power BI, and measurable lifts in efficiency and acquisition through experiment-driven optimization.

Community & Leadership

  • Student Community Lead @ Progate

    Developed and managed the overall student developer community. Organized campus hackathons, conducted technical workshops on web programming, and expanded educational reach through self-initiated and pre-existing company initiatives.

  • Campus Leader @ tehlearn.live

    Promoted technical educational courses across campus networks. Drove enrollment growth through digital marketing strategies and leveraged data visualization to analyze and optimize campaign reach and conversion rates.

  • President @ Rutgers Graduate Student Organization

    Elected President managing advocacy, student governance, and campus events. Coordinated outreach to 1,500+ incoming graduate students, raising awareness for campus resources and support programs. Organised the first-ever RU Hack on campus co-hosted with Major League Hacking (MLH), drawing 60+ participants.

  • Cohort Leader @ Rutgers AI Campus

    Led development in one of the first three AI cohorts across campus. Directed technical support for the Rutgers Archaeology Department on the Arch Street Project, streamlining excavation data, constructing interactive 3D spatial mapping clusters, and assisting archaeologists in analyzing findings.

Developer Badges

Resume

Publications & Research

Google Scholar Profile
  1. Quantum Networking: Creating the Future Landscape of Refined Classical Communication

    🏆 Best Paper Award
    11th IEEE International Conference on Reliability, Infocom Technologies and Optimization (ICRITO 2024)
    March 2024 • Cited by 5
    • Authors: Ayush Kumar Sharan, Alwin Philip, Purushottam Sharma, Vinod Kumar Shukla
    • • Explored integration of Quantum Key Distribution (QKD) and quantum network topologies with classical communication systems to refine network reliability and defend against quantum cryptographic threats.
    • View on Google Scholar
  2. Avatars in the virtual realm: An integrated approach to enhance digital community interaction

    International Journal of System Assurance Engineering and Management (Springer)
    2024 • DOI: 10.1007/s13198-024-02560-z • Cited by 4
    • Authors: Punj Lata Singh, Nitasha Hasteer, Rahul Sindhwani, Alwin Philip, Rishika Sharma
    • • Proposed an integrated framework for virtual avatars in metaverse environments across tourism, healthcare, research, and social networking while addressing privacy and cybersecurity challenges.
    • View Springer Article | View on Google Scholar

Education

  1. Rutgers University

    2024 — 2026
    • Master of Science in Computer Science
    • GPA: 3.65
    • Relevant Coursework: Big Data Algorithms, Data Structures, Machine Learning, Distributed Systems, Cryptography, Software engineering
  2. Amity University

    2020 — 2024
    • Bachelor of Technology in Information Technology
    • GPA: 3.85

Experience

  1. Software Development Specialist (Analytics/AI)

    New Jersey Department of Labor and Workforce Development, Trenton, NJ
    July 2026 — Present
    • • Build interactive analytics dashboards using AWS QuickSight connected to the department's AWS Data Lake, surfacing workforce and labor market trends for leadership and program staff.
    • • Develop and maintain AI/ML applications using AWS Bedrock, including prompt engineering workflows for generative AI integration across department operations.
  2. Graduate Research Assistant - Data Engineering

    Rutgers Business & Accounting Dept., Rutgers University-Camden, Camden, NJ
    Dec 2025 — Present
    • • Architecting an automated extraction pipeline for a 27-year SEC EDGAR archive, processing legacy 10-K, 8-K, and 6-K datasets to structure financial data for auditing models.
    • • Engineering robust ETL pipelines using Amarel server scripts to automate preprocessing of massive behavioral and financial datasets.
    • • Utilizing NLP techniques to convert unstructured financial archives into actionable insights, improving system transparency.
  3. Data Science & AI Research Intern

    Code-blue AI, UC Berkeley-affiliated Startup
    June 2025 — August 2025
    • • Developed real-time stroke detection system using facial asymmetry and speech pattern analysis, achieving sensitivity/specificity above 90%
    • • Improved speech recognition model accuracy to 98.9% by expanding and diversifying training datasets
    • • Implemented advanced machine learning algorithms for medical AI applications with high precision requirements
    • • Collaborated with UC Berkeley researchers on cutting-edge AI healthcare solutions
    • • Technologies used: Python, TensorFlow, PyTorch, Computer Vision, NLP, Medical AI
  4. AI Training & Prompt Engineering Specialist

    Rutgers Business School & Thayer Distribution
    June 2025 — July 2025
    • • Designed and delivered comprehensive training sessions on prompt engineering and AI tool integration for professional and corporate environments
    • • Instructed employees at Thayer Distribution on leveraging GitHub Copilot, Copilot for Microsoft Office, and AI assistants to automate workflows, increasing task efficiency by 90%
    • • Developed role-specific AI integration strategies to streamline repetitive tasks, enhance collaboration, and accelerate decision-making processes
    • • Created training materials and best practices documentation for enterprise AI adoption
    • • Technologies used: GitHub Copilot, Microsoft Copilot, AI Prompt Engineering, Workflow Automation
  5. Marketing Manager & Business Analyst – Web & Analytics Management

    Rutgers-Camden School of Business
    August 2024 — Present
    • • Maintain and optimize GA4 tracking, ACT forms, and website content to improve user experience and conversion funnels
    • • Analyze engagement metrics, traffic sources, and user behavior to guide data-driven marketing strategies
    • • Collaborate on SEO, content design, and UI/UX improvements, leading to measurable increases in engagement rate and traffic acquisition
    • • Fulfill cross-functional responsibilities typical of a marketing manager, including campaign performance analysis, audience segmentation, and website design enhancements
    • • Technologies used: Google Analytics 4, WordPress, SEO Tools, UI/UX Design, Campaign Management
  6. Mobile App Developer Intern

    Aeologic Technologies, Noida
    May 2023 — June 2023
    • • Designed and developed user interface components for Android applications using Java and Android Studio
    • • Collaborated with senior developers on mobile app architecture and best practices
    • • Implemented user interface improvements and performance optimizations for Android applications
    • • Technologies used: Java, Android Studio, UI/UX Design, Mobile App Development

Core Skills

  • Production AI & LLMs
    95%
  • Data Engineering & ETL
    92%
  • Cloud & MLOps
    88%
  • Analytics & BI
    87%
  • Systems, Shell & Leadership
    90%

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