Open Source
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Contributions (6 mo)
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Contributions (18 mo)
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Welcome
Drop your name and email if you'd like to stay in touch. Completely optional.
By the Numbers
These are not portfolio demos. These are outcomes from production AI systems I built under real accountability.
Context window architecture, output grounding, and hallucination mitigation are engineering constraints I treat with the same rigor as any systems design problem. I have solved all of these under real production pressure with real accountability.
I build at the hard end of the stack: RAG pipelines under retrieval pressure, Neo4j knowledge graph architectures over unstructured enterprise data, transformer-based document intelligence, and agentic systems that actually ship.
Production-grade retrieval pipelines with vector search, context window management, and low-hallucination outputs deployed at scale using Azure OpenAI and LlamaIndex.
Neo4j architectures modeling 500+ entities across semantic dimensions, integrated with LangChain to unify structured and unstructured enterprise data at 97% ontology accuracy.
Multi-step autonomous systems with tool-use, persistent memory, and real-world API integration, designed to serve real users and not just run in notebooks.
End-to-end pipelines from data engineering and feature design through model training, evaluation, and stakeholder-facing dashboards that drive actual decisions.
Academic Background
Two fully funded degrees, awarded on merit across two continents.
MS in Business Analytics
B.Tech in Artificial Intelligence
Career Timeline
From production AI systems to research labs, a journey built on real outcomes.
Founding Full-Stack Engineer
AI Engineer
North Carolina, USA
Graduate Consultant
AR & ML Extern
AI/Software Engineer Intern
Founding AI Engineer
AI Trainer, RLHF & Red Teaming
Research Intern
Machine Learning Engineer
Machine Learning Intern
Selected Work
Production-grade AI systems and research-backed data solutions.
OmniPro 220 Support Agent
Multimodal voice agent for the Vulcan OmniPro 220 welder built in 49 hours for Prox (YC F25). Hands-free voice loop, three-layer photo diagnosis with vision grounding, multi-agent deliberation (Safety + Quality reviewers), 14 structured tools, persistent cross-session memory, and customer mode toggle.
JobForge
Autonomous end-to-end job search pipeline. Scrapes Greenhouse, Lever, and Ashby APIs via Playwright, uses Claude Haiku for pre-filtering and Sonnet for deep evaluation, RAG over personal corpus via ChromaDB, auto-generates tailored CVs and cover letters, and submits applications autonomously. 97/97 tests passing.
InstantID: Facial Identity Persistence
Research project solving identity drift in diffusion models. Custom identity aggregation layer on top of InstantID using ArcFace embeddings. Aggregates 4-5 reference images into a single 512-dim master vector with confidence-weighted fusion.
Real-time Fraud Detection
Ensemble ML model (XGBoost + Random Forest) for real-time credit card fraud detection achieving 99.2% accuracy, streamed via Apache Kafka and containerized with Docker.
Logistics Optimization Engine
Distributed route clustering system using ML and operations research that delivered $3.2M in annual cost savings and 23% faster delivery across six enterprise clusters at Aditya Birla.
Multilingual Legal AI Chatbot
Generative AI legal assistant using InLegalBERT + ElevenLabs TTS supporting 10 Indian languages, serving 6,000+ users with production-grade availability at Lawroom AI.
Latest Writing
Writing on AI systems, technology, and the future of work. Published on Medium with 474+ reads on a single piece.
Give Me 20 Minutes and I'll Change How You Use AI Forever
A practical reframe of how to get genuinely useful output from AI tools through structured interaction design.
The 5-Minute Setup That Turned My Terminal Into an AI Engineer
How a minimal terminal configuration unlocked a dramatically faster AI-assisted development workflow.
The Hiring Pipeline Is Not Broken. It Is Being Quietly Restructured.
A clear-eyed look at what is actually changing in how companies hire AI and tech talent in 2026.
Recognition
Scholarships, medals, and recognition across academics, research, and leadership.
What People Say
From managers and colleagues who worked with me directly.
He took ownership of our website from design to Firebase integration, always with a user-centric focus. He also contributed to benchmarking AI models and integrating voice-to-text features. Vikas is constantly growing his skills and would be a valuable asset to any team.
Bhawna Rupani
Lead Gen AI Engineer · Lawroom AI
Vikas has consistently demonstrated a strong commitment to learning and delivering high-quality work on our Knowledge Graph implementation. He brings enthusiasm and curiosity to every task, communicates clearly, and collaborates effectively. His positive attitude and eagerness to learn make him a pleasure to work with.
Kunkum Poovamma
Senior GenAI Engineer · Aditya Birla Group
Vikas is a dedicated and hardworking individual with a strong passion for data science, machine learning, and deep learning. He consistently seeks opportunities to upgrade his skills and stays at the forefront of new technologies. His enthusiasm for ML is evident as he combines technical expertise with a genuine love for learning.
Tanisha Saraf
Robotics Engineer · Plaksha University
Open Source
Get in Touch
Happy to talk about voice AI, RAG, evals, production ML, research, or interesting problems.
meet.kumarvikas@gmail.com
Location
San Francisco Bay Area
Open to relocation
Currently
Founding engineer at The M.A.P.
Currently building at The M.A.P.
Ticket-demand forecasting: CatBoost plus LLM reasoning across 15,814 events and 150+ venues.