transmitting from Hyderabad, India


Senior AI Engineer · MLOps & GenAI. I build ML systems that actually ship — and keep them running in production.

7+ years across Generative AI, computer vision and NLP — plus the MLOps pipelines that keep them alive in production. I've pre-trained a 20B-parameter GPT, fine-tuned LLMs with LoRA/QLoRA, and shipped speech-driven AI to 10k+ users. Now building Corvux, a local-first second brain.

scroll ↓ don't think about it
Wubba Lubba Dub DubPyTorchMLflowKubeflowAzureLLMsTritonCorvuxPorttyComputer VisionKubernetesOpenShiftKafkaRabbitMQRAPIDSKnowledge GraphsDeepSpeedRAGWubba Lubba Dub DubPyTorchMLflowKubeflowAzureLLMsTritonCorvuxPorttyComputer VisionKubernetesOpenShiftKafkaRabbitMQRAPIDSKnowledge GraphsDeepSpeedRAG

// the scientist

A genius who actually ships

I’ve spent 7+ years moving between research and production — from segmenting pixels with Detectron2, to pre-training a 20B-parameter GPT on a DGX cluster, to fine-tuning LLMs and wrapping them in MLOps so they don’t fall apart in the real world. These days I’m deep in MLflow for experiment tracking and building Corvux, a local-first second brain. I like hard problems, tight deadlines, and the occasional portal.

01
7+
Years in the lab
★ peak build
20B
Params pre-trained (GPT)
03
10+
Models shipped to prod
04
10k+
Users reached in prod

// dimensions traveled

Career across the multiverse

Senior AI Engineer — MLOps

World Wide Technology (WWT) · Remote · India

Dim. C-137

2024 — Present

  • Own the MLOps backbone — design and operate end-to-end ML pipelines on Azure with MLflow experiment tracking & model registry.
  • Orchestrate training and inference with Kubeflow on Kubernetes/OpenShift, automated through CI/CD for reliable model delivery.
  • Built event-driven data & inference pipelines with Kafka and RabbitMQ — high-throughput, decoupled ML services at scale.
MLOpsAzureMLflowKubeflowKafkaRabbitMQOpenShift

Senior Machine Learning Engineer

Quantiphi Analytics · Bangalore

Dim. Q-22

Apr 2022 — 2024

  • Advancing Generative AI capabilities — shipped two client pilots and three end-to-end POCs (with deployment) on tight 6–8 week cycles.
  • Built ML Ops & CI/CD pipelines to streamline development, plus MLflow-based experiment tracking and model registry.
  • Part of the NVIDIA R&D team — TAO Toolkit, NeMo LLMs, RAPIDS, Riva and Triton Inference Server.
  • Ran onboarding sessions on LLMs and DGX machines covering distributed training & inference.
GenAILLM Fine-tuningMLflowTritonNeMoCI/CD

Lead Analyst — ML R&D

Kantar · Hyderabad

Dim. K-22

Aug 2020 — Apr 2022

  • Led fast proof-of-concepts for internal use cases and played a key role in building the image pipeline.
  • Built models for object detection, OCR extraction, one-shot learning and image classification.
  • End-to-end project management — from business requirements to delivery.
Computer VisionOCROne-Shot LearningYOLOv7

Research Associate — Computer Vision

Mirrorsize US Inc · Noida

Dim. M-20

Feb 2020 — Aug 2020

  • Core vision team — fast prototyping with SOTA papers: CenterMask v2, Mask R-CNN Benchmark, Yolact++, Detectron2, PointRend, U-Net.
  • Pose estimation with OpenPose & MMPose; 3D reconstruction with HMR and SMPL models.
  • Custom instance segmentation (Yolact++ / ResNet-101) hitting >90% mAP.
Detectron2Yolact++SMPL3D Vision

Machine Learning Intern

Gamenous Pvt Ltd · Hyderabad

Dim. G-19

Jul 2019 — Feb 2020

  • Road crack detection with YOLO v2/v3, Inception-v2, MobileNet-v2 and EfficientNet.
  • Built an in-house web-based image annotation tool with database connectivity.
YOLOEfficientNetAnnotation Tooling

// garage inventions

Things I built in the garage

gateway 01 Corvux logo
★ flagship innovation · 2025 · Live

Corvux

The Microverse Battery (for your brain)

A local-first 'second brain'. Your notes are plain Markdown files in a roost on your own machine — no cloud lock-in. Corvux indexes them into a live [[wiki-link]] knowledge graph you can traverse: backlinks, neighbors, shortest paths, and PageRank to surface your most central notes.

  • Local-first Markdown roost with sub-second re-indexing on file changes.
  • Knowledge-graph engine — backlinks, forward links, N-hop neighbors, path-finding, PageRank hubs.
  • Tasks, reminders (OS notifications) and properties/tags layered over plain notes.
  • Ships an MCP server so AI agents can read, write and reason over your roost directly.
Local-firstKnowledge GraphMCPPageRankMarkdown
Visit meetcorvux.com →
gateway 02 Portty logo
★ flagship innovation · 2026 · Active build

Portty

Your phone is a portal gun for terminals

An open-source, zero-config terminal to your own machines from anywhere. Portty keeps shell sessions alive and lets you switch between them from your phone over an encrypted iroh P2P tunnel.

  • Persistent, switchable PTY sessions with scrollback and high-throughput binary streaming.
  • Secure PIN pairing and token-based fast resumption/reconnect over encrypted iroh P2P tunnels.
  • Adopt any terminal mid-work with the `portty share` ConPTY/named-pipe relay.
  • Everyday shell-profile hook that makes all terminal sessions portal-ready from birth.
  • Custom mobile UI with accessory key bar, Ctrl-key latching, and safe-area compatibility.
Rustiroh / QUICTauri 2SolidJSxterm.jsConPTYE2E Encryption

Digital Avatar

A talking interdimensional assistant

LLM-based conversational system that understands queries, retrieves context and responds — wired to Riva ASR/TTS for full speech I/O. Fine-tuned with PEFT/LoRA/QLoRA, guardrailed to its domain, deployed on Triton.

LLMRAGRiva ASR/TTSLoRA/QLoRAGuardrails

Credit Engine

Knowledge graphs that decide

End-to-end knowledge-graph pipeline over unstructured text. Extracted entities with NeMo LLMs, built the graph with NetworkX/PyViz, ran PageRank & community detection, then injected the graph back into an LLM to predict the next best action.

Knowledge GraphNeMoNetworkXGraph Mining

GPT-20B Pre-training

Multi-GPU, multi-dimension

Pre-trained a 20-billion-parameter GPT model end-to-end using DeepSpeed pipeline parallelism on an NVIDIA DGX cluster.

DeepSpeedPipeline ParallelDGXDistributed Training

Kantar Vision

See it, read it, identify it

Multi-model pipeline for text + image extraction and food-item identification. os2d one-shot learning, YOLOv7 brand detection, OCR+NLP fusion, plus a face-analysis model for age/gender/region attributes.

os2dYOLOv7OCRFace Analysis

NVIDIA Launchpad Labs

Three labs, one toolkit

Automatic close-captioning (NeMo/TAO/Riva TTS), vehicle damage estimation (TAO object detection on Triton with dynamic batching), and demand forecasting (RAPIDS + Dask-XGBoost, Plotly Dash dashboards).

TAORAPIDSDaskTritonPlotly Dash

// lab equipment

The gear on the workbench

Core ML & Deep Learning

PythonPyTorchTensorFlowDeep LearningTime SeriesGANs

Generative AI & NLP

LLMsPrompt EngineeringLangChainLlamaIndexRAGPEFT / LoRA / QLoRA

Computer Vision

OpenCVObject DetectionSegmentationDetectron2Pose Estimation3D / SMPL

MLOps & Infra

MLflowKubeflowKubernetesOpenShiftDockerCI/CDTritonRAPIDS / Dask

Cloud

GCPVertex AIAWSAzureOracle Cloud

Data

SQLMongoDBVector DBsFlaskStreamlitPlotly

// certifications

  • Oracle Cloud Infrastructure 2023 — Certified Data Science Professional
  • Oracle Cloud Infrastructure 2023 — AI Foundations Associate
  • TensorFlow: Advanced Techniques Specialization
  • Building Real-Time Video AI Applications

// achievements & education

  • Dean — School of AI · Feb 2018 — Dec 2021

    Led the AI community in Hyderabad. Ran 5 meetups on AI/ML/DL and a global hackathon on AI for Healthcare.

  • "Super Ninja" Award · Quantiphi

    Recognized for exceptional multitasking, attention to detail and consistently top-tier delivery.

  • MCA — Master of Computer Application · 2020 — 2023

    Chaitanya (Deemed to be University). B.Sc Statistics before that (2016–2019).

// open a portal

Let’s build something
across dimensions.

Hiring, collaborating, or just want to argue about whether MLflow beats Weights & Biases? The portal’s always open.