Architecting low-latency autonomous pipelines, local LLM fine-tuning, and hardware-to-OS system integrations.
I bridge the gap between heavy AI model reasoning and bare-metal OS control. Currently operating as an ML Engineer Intern at Aathma Pranavaayu, a Core AI/ML Department Member at AWS Cloud Club VITC, and an active contributor within the open-source ecosystem.
Out of 20+ competitive national hackathons, these five builds survived strict 24-to-48-hour timelines and intense judging panels to secure overall podium positions:
| Event & Rank | Shipped Codebase | Central Innovation Engine | Engineering Impact Implemented |
|---|---|---|---|
| DataSet '25 π₯ 1st Place |
MediScan AI | Computer Vision / Segmentation | Automated biomedical pipeline isolating regions of interest in complex imagery. |
| Glitchthon 2.0 π₯ 1st Place |
Healthcare Logistics | Multi-Agent Orchestration | Decentralized system dynamically routing critical pharmaceuticals under active bottlenecks. |
| AghriNova π₯ 1st Place |
Landroid | Geospatial APIs & Satellite Vision | Integrated Birdscale drone metrics and time-series data for canopy counting in 24 hours. |
| Hack-N-Android '26 π₯ 2nd Place |
Aura-OS | Android Accessibility & Live APIs | Zero-Hop OS-level automation using thread-safe WebSockets to bypass UI latency. |
| DevsHouse '26 (GDG) π₯ 3rd Place |
TerraGuard (Sentinel) | Edge Computing & Signal Processing | ESP32 seismic mesh network processing heavy machinery noise locally on-chip. |
Aura-OS β Autonomous Android Executive Layer
- The Core: Built a zero-hop edge framework enabling a Gemini 2.0 Flash ReAct loop to autonomously control third-party mobile applications without hardcoded paths.
- System Mechanics: Leveraged
AccessibilityServiceand a customSemanticFlattenerto convert dense UI layouts into tokenized JSON, dispatching execution via theGestureDescriptionAPI and Jaro-Winkler string tracking.- Race-Condition Mitigation: Solved real-time streaming constraints across bidirectional JSON/Audio streams using a thread-safe
ConcurrentHashMapcombined with a deterministic 3x 800ms retry draw-cycle strategy.
AgentChain β Transparent Trustless Web3 Trading
- The Core: Architected an autonomous crypto trading agent running on the Model Context Protocol (MCP) that moves decisions entirely on-chain.
- System Mechanics: Decoupled multi-variable trade logic into explainable decision trees. Every execution is logged immutably via smart contracts, generating a transparent ledger audit track for DAO governance.
VoicePulse β Conversational Diagnostic Console
- The Core: A voice-first analytics engine running conversational AI interviewers that dynamically deep-probe open-ended verbal responses.
- System Mechanics: Engineered a real-time transcript processing engine featuring dynamic topic segmentation and context-aware sentiment analysis to spit out priority action matrices for systems operators.
ChronoPet β Native Windows Active Focus Companion
- The Core: A low-friction background desktop organizer that parses task state via semantic memory loops.
- System Mechanics: Monitors foreground processes directly via native
Win32 APIspaired with local semantic memory handling viaChromaDB. Task ingestion runs via an isolatedDockercontainer hosting a WhatsApp message parsing microservice viaLiteLLM.
SignalWorks β Zero-UI Predictive Market Engine
- The Core: Built a network decision infrastructure giving 10 Million+ offline street vendors live geospatial market analytics without internet access or smartphones.
- System Mechanics: Combines
Amazon Bedrock(Claude 3 reasoning) andSageMakerpricing trends. Delivers real-time location heatmaps and localized data via 2G SMS and automated Interactive Voice Response (IVR) phone loops. [Shortlisted for AWS AI for Bharat]
TerraGuard β Distributed Seismic Mesh Network
- The Core: An end-to-end telemetry system designed to flag and intercept illegal river sand mining operations using remote hardware nodes.
- System Mechanics: Deployed low-power
ESP32microcontrollers running local signal-processing algorithms to isolate machinery vibration frequencies on the edge, routing clean alerts to anOrange Pi 5gateway broker.
| Technology Field | Core Stack & Tools |
|---|---|
| Languages | Python [Expert], Kotlin, Java, C++, SQL, JavaScript |
| Agentic Frameworks & Optimization | ReAct Loops, Model Context Protocol (MCP), LoRA parameter adaptation, Fine-Tuning, LiteLLM |
| Vector Bases & Computer Vision | ChromaDB (Vector DB), OpenCV, Image Segmentation, NLP Pipelines, TensorFlow, Keras |
| Cloud, DevOps & Workflows | Amazon Bedrock, Amazon SageMaker, AWS Core Services, Docker, Linux/WSL2, Rigid Git Workflows |
| Low-Level OS & Edge Hardware | Android SDK (AccessibilityService, GestureDescription), OkHttp WebSockets, Win32 API, ESP32, Orange Pi 5 |