Rahul Rahul
Open to work1 years experienceAI Engineer
AI Engineer specializing in SaaS, Voice AI, and PQC Research.
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
27 skillsWork Experience
AI Engineer
QuickCuts, India
- Sole developer of production multi-role SaaS (barber/manager/owner/customer): React Native 0.78.3 + NestJS + WebSocket + PostgreSQL + Redis; <100ms queue latency across concurrent multi-salon sessions on DigitalOcean Bangalore.
- Built voice AI pipeline: Porcupine wake-word > VAD > Sarvam ASR > Gemini NLU > queue action > IndicTTS; <500ms end-to-end, non- blocking async audio forwarding to GCP retrain queue via Redis.
- Designed 2-server M L infra (DigitalOcean + GCP T4 GPU $0.11/hr) with canary rollout (10% > 50% > 100%) for zero-downtime deployments; break-even at 21 salons, ₹ 1.6L/year savings at 500 salons.
Research Assistant
Nokia-Sponsored Research, IIT Bombay
- Designed and evaluated a reproducible StrongSwan 6.0 prototype implementing the proposed composite key-sharing mechanism, analyzing IKEv2 control-plane behavior for post-quantum handshakes over TCP transport.
- Conducted an empirical benchmarking study using tc/netem to evaluate composite and hybrid IKEv2 exchanges across packet-loss and delay profiles, analyzing handshake latency, retransmissions, throughput, and energy consumption.
- Evaluated the impact of TCP transport on composite key sharing, demonstrating a 20–30% reduction in fragmentation-induced retransmissions under adverse packet-loss conditions.
Research Assistant
Nokia-Sponsored Project, IIT Bombay
- Benchmarked 19 KEM s (M LKEM 512/768/1024 + hybrids) for TLS PQC migration; reduced measurement overhead 15% via RDTSC CPU cycle counting across all parameter sets.
- Automated Linux perf profiling (DWARF, 999 Hz) generating flame graphs with 85x better call-stack resolution (2 to 172 nodes) for cryptographic bottleneck identification.
- Built FastAPI + React interface (real-time WebSocket) comparing classical (x25519) vs. PQC (M LKEM 768); demonstrated 120% TLS handshake size increase for PQC variants.
Projects
Cyberbullying Detection in Hinglish
- Built a machine learning pipeline using BERT and LSTM models to detect cyberbullying in Hinglish text, achieving an F1 score of 0.88 on a dataset of 35,000+ social media comments.
- Preprocessed Hinglish text using TF-IDF vectorization and regex-based features to address code-switching and slang, improving classification precision by 18%.
- Established an automated detection framework using Flask for harmful content on social media channels; enabled rapid response times that reduced user exposure to offensive material
AI Agentic Security Assistant for RAG Application
- Built an agentic security assistant using Python, LangGraph, FastAPI, Redis, and PGVector to test LLM /RAG endpoints for prompt injection, data leakage, function abuse, and context poisoning.
- Implemented a RAG remediation pipeline (embeddings + semantic retrieval) that maps detected vulnerabilities to actionable mitigation steps for faster developer triage.
- Developed CI-ready scan workflows with structured JSON/HTM L reports, schema-validated outputs, retry/timeouts, and tracking for latency, false-positive rate, and verified-finding ratio.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Oracle Certified Professional
Oracle Certified Professional in Oracle Cloud Infrastructure
GATE AI & DS Qualified
Qualified GATE Artificial intelligence and Data Science with Rank 595
JOB-A-THON 10.0 Rank 1
Secured India Rank 1 in JOB-A-THON 10.0 organized by GeeksforGeeks
About Details
Professional Bio
AI Engineer with expertise in SaaS development, voice AI pipelines, and PQC research. Experienced in building scalable ML infrastructure, real-time data pipelines, and security-focused applications using Python, React Native, and cloud platforms.
B.Tech, Artificial Intelligence and Data Science in Artificial Intelligence and Data Science
Indian Institute Of Information Technology, Kurnool (2021 - 2025)