Professional Portfolio

I build AI products, observability systems, voice platforms, and production infrastructure that actually run at scale.

I work across AI/ML pipelines, OCR and vision systems, speech automation, kernel-level observability, LLM security, infrastructure setup, throughput optimization, and deep troubleshooting. My strongest work sits at the intersection of product engineering, systems design, and hard technical execution.

AI / ML Platforms Voice & Speech Systems eBPF & Observability Security Engineering Infra & Kubernetes Performance Optimization
6+ major product tracks
3 detailed PDF case studies
Cross-stack AI to kernel to infra

Major Platforms & High-Value Work

Additional projects that matter

These projects expand the profile beyond the three flagship case studies and show the broader range of production, data, security, and engineering work I have handled.

Speech / Data Engineering

Hindware Voice Intelligence Pipeline

Converted customer-care voice data into text at very large scale, then used LLaMA-driven extraction and downstream processing to turn unstructured voice interactions into structured database-ready information.

  • 20 lakh+ audio files processed into text-oriented records
  • Data cleaning, normalization, and transcript handling
  • Pincode generation, city mapping, NER and parameter extraction
  • Pipeline design for large-scale structured ingestion
AI Agent Security

Observa AI · Agent Observability

Built observability thinking and architecture around AI agents to track what they are doing, where they are sending data, and how their actions can be audited or monitored in a more reliable way.

  • Agent activity and behavior tracing
  • Data destination awareness
  • Action visibility and monitoring concepts
  • Security and governance-oriented architecture
LLM Security

7-Layer LLM Security System

Designed a layered defense system where the LLM acted as the final layer rather than the only layer, focused on detecting malicious prompts and preventing attempts to extract protected data through prompt attacks.

  • Seven-layer defensive model
  • Prompt abuse and data-extraction detection
  • Layered validation before model escalation
  • Security-first architecture for LLM usage
Forecasting & Data

Sales Forecasting, DataCube & DataQube

Worked on data and forecasting initiatives involving structured data pipelines, baseline forecasting logic, feature contracts, and business-facing analytical workflows.

  • Forecasting pipeline design
  • Feature-layer and data-contract thinking
  • Business-aligned analytical architecture
  • Integration-ready structured data planning
Vision / OCR

Vision, OCR & Evaluation Work

Designed and refined image and document intelligence pipelines involving OCR, layout-aware extraction, evaluation logic, wrong-category detection, quality gates, and structured output generation.

  • YOLO / category detection strategy
  • PaddleOCR-style extraction direction
  • Quality-gate thinking for invalid inputs
  • Evaluation, schema, and reliability design
Performance & Reliability

Throughput Optimization & Production Hardening

I regularly optimize web applications and services by improving request throughput, reducing bottlenecks, tuning workers, fixing database queries, and implementing caching and control-plane strategies.

  • Database query optimization
  • Redis caching and request shaping
  • Latency and throughput tuning
  • Worker/runtime and infra-level hardening
Developer Enablement

Cross-Stack Troubleshooting & Technical Support

A recurring part of my work is unblocking developers when they get stuck anywhere across the stack — from Linux shell issues and Docker problems to system configuration, deployment, driver issues, and runtime debugging.

  • Linux, Docker and system troubleshooting
  • Nginx, deployment, CI/CD and infra debugging
  • Database, Redis and API integration support
  • Fast technical problem-solving across domains

Architecture Mindset

I usually own the whole path, not just one layer

My strongest work is end-to-end: product problem understanding, architecture choice, pipelines, infra, monitoring, security, optimization, deployment, and practical fixes when production reality doesn’t match theory.

AI pipeline ownershipTraining, evaluation, OCR, voice, extraction, routing, fallbacks
Systems depthLinux, kernel thinking, containers, DaemonSets, runtime instrumentation
Operational maturityDashboards, observability, admin tools, logs, cost and throughput awareness
Architecture overview illustration

Capabilities

Where I bring the most value

My profile is best described as AI/ML plus systems plus platform plus security plus infrastructure — not a narrow single-role track.

AI & ML Systems

LLM workflows, OCR extraction, vision systems, structured output design, evaluation logic, and applied ML pipelines.

Voice & Speech Platforms

Speech-to-text pipelines, telephony integration, bot workflows, NLU orchestration, audio response loops, and call automation.

Kernel & Observability

eBPF concepts, transport from kernel to user space, runtime interception, outbound data-flow analysis, and host observability design.

Infrastructure & Deployment

Docker, Kubernetes, Nginx, FastAPI, Redis, PostgreSQL, system services, cloud deployment, and environment hardening.

Performance & Reliability

Throughput tuning, database optimization, cache strategy, concurrency shaping, fallback patterns, monitoring, and operations.

Security-Oriented Engineering

Prompt security, payload sensitivity classification, outbound data-awareness, AI-agent observability, and layered defense design.