AI Systems
- RAG
- Scoring engines
- Transcription workflows
- Applied intelligence
[SEC. 01]
Résumé
AI systems engineer specializing in structured, explainable product systems - resume intelligence, speech workflows, applied AI, automation, and human-centered decision tools. I build systems where raw technical output becomes understandable, trustworthy, and useful for the people using it.
LocationIndia
FocusAI systems + full-stack product
Current LensClarity-first product engineering
StatusOpen to selected opportunities
[SEC. 02]
Capability Snapshot
Full-Stack Product
- React, Next.js
- FastAPI, Spring Boot
- Backend APIs
Data & Workflows
- Pipelines
- Structured extraction
- Automation
- Dashboards
Reliability
- Logging
- Validation
- Config-driven logic
- Failure handling
[SEC. 03]
Experience Records
Feb 2026Sep 2024
REC-01
Tawgl
Full Stack / AI Systems
CONTEXT
Leading the development of intelligent matching and content generation systems for a specialized marketplace platform.
WHAT IT PROVES
Ability to architect and deploy production-ready AI features that directly impact core business metrics.
KEY SYSTEMS & IMPACT
- Architected an explainable matching algorithm improving user connection rates by 34%.
- Deployed a scalable transcription pipeline processing 500+ hours of audio monthly.
- Integrated LLM-based profile summarization reducing manual review time by 60%.
May 2024Aug 2024
REC-02
IT Guy
Full Stack Developer
CONTEXT
Developed and maintained internal operational dashboards and client-facing web applications.
WHAT IT PROVES
Strong foundational full-stack skills and ability to deliver reliable CRUD applications under tight deadlines.
Sep 2023May 2024
REC-03
Cardiotrack
Machine Learning Engineer
CONTEXT
Built initial ML models for predictive healthcare and diagnostic assistance.
WHAT IT PROVES
Experience with core machine learning principles and deploying models in a sensitive domain.
[SEC. 04]
Selected Systems
SYS REC-01
Explainable Matching Engine
SYS-001PythonFastAPIVector DB
Reasoning-based matching algorithm for high-volume unstructured profiles.
Technical Details
Problem: High-volume unstructured profiles.
System: Reasoning-based matching algorithm.
Outcome: 34% increase in user connection rates.
SYS REC-02
Distributed Transcription Pipeline
SYS-002WhisperRedisDeepgram
Queue-based processing cluster for high-latency audio tasks.
Technical Details
Problem: High-latency audio processing.
System: Queue-based Whisper/Deepgram cluster.
Outcome: Handled 500+ hours of audio monthly.
SYS REC-03
Profile Summarization API
SYS-003LLMLangChainNode.js
LLM-integrated microservice to reduce profile review friction.
Technical Details
Problem: Long-form resume review friction.
System: LLM-integrated microservice.
Outcome: Reduced manual review time by 60%.
SYS REC-04
Predictive Diagnostics Model
SYS-004MLClassificationPython
ML-driven classification assist for inconsistent healthcare data categorization.
Technical Details
Problem: Inconsistent healthcare data categorization.
System: ML-driven classification assist.
Outcome: Improved diagnostic accuracy for initial screening.
[SEC. 05]
Methods & Tools
Languages & Frameworks
- PythonAdvanced
- TypeScript / JSProficient
- React / Next.jsProficient
- FastAPI / Node.jsProficient
AI & Data Systems
- LLM IntegrationAdvanced
- Vector DatabasesProficient
- PostgreSQLProficient
- Data PipelinesProficient
Infrastructure
- Docker / ContainersProficient
- AWS / CloudflareProficient
- CI/CD PipelinesIntermediate
Product & Design
- System ArchitectureAdvanced
- API DesignAdvanced
- Figma / UIIntermediate
Product & System Thinking
Workflow mapping
Failure-case design
Explainability
Decision thresholds
Human-centered output
[SEC. 06]
Education
2019-2023EDU-01
Vellore Institute of Technology
Bachelor of Technology
Focus on Computer Science and Systems Engineering
2019EDU-02
Delhi Public School, Bhilai
Class XII
Senior secondary education
2017EDU-03
Delhi Public School, Durg
Class X
Secondary education