Skip to content
View skandvj's full-sized avatar
๐ŸŽฏ
Focusing
๐ŸŽฏ
Focusing

Highlights

  • Pro

Block or report skandvj

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
skandvJ/README.md
Skand Vijay Banner

LinkedIn Portfolio Email

Product Manager | AI & B2B SaaS | CMU Alum


๐Ÿš€ About Me

I am a Product Manager bridging the gap between complex AI architectures and user-centric business value. I specialize in translating "rare expertise" technologiesโ€”like Autonomous Agents, RAG, and MLOpsโ€”into scalable, market-ready products.

I don't just write code; I build product visions. My background in engineering allows me to speak the language of developers, while my strategic focus ensures we ship the right products that solve real user problems.


๐Ÿ›  Product & Technical Arsenal

My skill set allows me to manage the full product lifecycle, from API design to Go-To-Market strategy.

Product Strategy AI & Data Engineering Infrastructure & DevOps
๐ŸŽฏ Roadmapping & GTM ๐Ÿค– GenAI & LLMs (LangChain, OpenAI) โ˜๏ธ Cloud Native (AWS, GCP)
๐Ÿ“Š Data-Driven Discovery ๐Ÿง  Deep Learning (PyTorch, TensorFlow) ๐Ÿณ Containerization (Docker, K8s)
๐Ÿ”„ Agile & Scrum ๐Ÿ” RAG & Vector DBs โš™๏ธ CI/CD Pipelines (GitHub Actions)
๐Ÿ“ User Personas & PRDs ๐Ÿ Python & SQL ๐Ÿ“ฑ API-First Development


๐Ÿ“ก Featured Deployments

1. AI Observability for Agentic Systems

Repo

The Problem: Production LLMs are "black boxes." Engineering teams lack visibility into latency, cost, and hallucination rates.
The Solution: A real-time Observability Pipeline tracing agent decision paths and tracking token costs.
PM Impact: Reduced risk for enterprise adoption by establishing clear SLAs and cost monitoring.

2. HR Buddy: AI Recruitment Assistant

Repo

The Problem: Talent Acquisition teams are overwhelmed by resume volume, slowing down Time-to-Hire.
The Solution: A RAG-powered assistant that semantically matches candidates to Job Descriptions.
PM Impact: Optimized top-of-funnel efficiency, allowing recruiters to focus on closing candidates.

3. AI Healthcare Assistant

Repo

The Problem: Patients struggle to navigate medical jargon, leading to poor triage decisions.
The Solution: A privacy-first conversational AI for symptom checking and appointment scheduling.
PM Impact: Prioritized User Trust and HIPAA Compliance over raw feature velocity.


๐Ÿ”ฅ Why Hire Me?

  • Bridge the Gap: I can debate architecture trade-offs with engineers in the morning and present ROI analysis to executives in the afternoon.
  • Data-Fluent: I don't guess; I query. I use SQL and Python to pull my own data for decision-making.
  • AI-Native: I understand the capabilities and limitations of current AI models, preventing "AI hype" features that don't solve real problems.
Stats

Let's build something impactful.

Popular repositories Loading

  1. AI-Agents-for-Illustrations-and-Story-Generation AI-Agents-for-Illustrations-and-Story-Generation Public

    2

  2. VoiceCore-AI-Acoustic-Modeling-Engine VoiceCore-AI-Acoustic-Modeling-Engine Public

    VoiceCore AI: Low-latency Acoustic Modeling Engine for voice assistants. Frame-level phoneme classification using Deep MLPs and Contextual Analysis

    Jupyter Notebook 1

  3. TorchLite-Custom-Pytorch TorchLite-Custom-Pytorch Public

    A custom Deep Learning Framework built from scratch using NumPy. Implements Automatic Differentiation, Backpropagation, and modular Layer architectures.

    Python 1

  4. BioAuth-AI BioAuth-AI Public

    BioAuth AI: Identity Verification Engine. Optimized ResNet-18 architecture for biometric security, achieving minimal Equal Error Rate (EER) for enterprise authentication

    Jupyter Notebook 1

  5. HW3P2-Utterance-to-Phoneme-Mapping HW3P2-Utterance-to-Phoneme-Mapping Public

    Jupyter Notebook 1

  6. NeuroLex-Sequence-Modeling-Engine NeuroLex-Sequence-Modeling-Engine Public

    A Next-Token Prediction Engine using LSTMs/RNNs. Demonstrates the foundational architecture of GenAI, focusing on sequence memory and perplexity optimization.natural-language-processing

    Jupyter Notebook 1