Skip to content
View Technocrat-dev's full-sized avatar

Block or report Technocrat-dev

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Technocrat-dev/README.md

Typing SVG


▸ About Me

const manas = {
  pronouns: "he" | "him",
  currently: "Final-year CS @ Manipal, open to 2027 new-grad roles",
  recently: "Backend Engineering Intern @ RupeeFlo (fintech)",
  focus: ["Distributed Systems", "Backend Engineering", "Production ML"],
  askMeAbout: ["Raft consensus", "gRPC", "K8s", "Django", "system design"],
  funFact: "I built a Kafka-style broker in Go that does 262K msg/s with fsync on"
};

What Drives Me

I'm passionate about building production-grade systems that solve complex problems at scale. My sweet spot lies at the intersection of:

  • Distributed Infrastructure: Consensus protocols, message brokers, fault tolerance
  • Microservices & Platform Engineering: Kubernetes, gRPC, observability, CI/CD
  • Full-Stack ML Platforms: End-to-end pipelines with polished interfaces

Great software is built where systems thinking meets practical engineering.


▸ Experience

Backend Engineering Intern @ RupeeFlo (Fintech) · May 2026 – Jul 2026 NRI banking & investment infrastructure. Migrated doc-generation pipelines into the core Django backend, collapsing a 3-call chain into one API and cutting processing time 80%, with a 0%-divergence PDF-diff parity harness; designed a 3-tier OTP fallback (WhatsApp → SMS → voice) on Celery/Redis with atomic SETNX locks, serving 15,000+ users across 27 validated replay/race edge cases; shipped an AI support draft generator to production (LLM tool-use, ~90% faster drafting, 70% coverage on 78 real tickets).

Machine Learning Intern @ Reliance Industries Ltd., Video Analytics · May 2025 – Jul 2025 Real-time occupancy detection with YOLOv11 + DeepSort across 10+ concurrent RTSP streams at 30+ FPS; multi-camera spatial deduplication across overlapping FOVs.


▸ Featured Projects

Kafka-inspired broker in Go: HashiCorp Raft + my own storage & replication layers

Go gRPC Docker Kubernetes

  • ▪ 262K msg/s produce, fsync on (p99 56ms)
  • ▪ 723K fsync-off · 490K msg/s consume
  • ▪ HashiCorp Raft + ISR-acked replication
  • ▪ Controller/leader failover in ~10s
  • ▪ CRC32C segmented logs, reproducible bench

Real-time fleet monitoring with geofencing

FastAPI Next.js PostgreSQL WebSocket

  • ▪ 50 vehicles with real-time telemetry
  • ▪ Interactive polygon geofence drawing
  • ▪ Google/GitHub OAuth + RBAC
  • ▪ CI/CD with GitHub Actions
  • ▪ Deployed on GCP Cloud Run + Vercel

Automated pipeline for autonomous driving perception

Python Gemini Pydantic Docker

  • ▪ 8 prompt variants (zero-shot → CoT+grounding)
  • ▪ 9-metric eval, 800 runs on 100 BDD100K scenes
  • ▪ Miss rate 28.9% → 26.2% (p<0.05, permutation)
  • ▪ AI error analysis agent + auto-prompt fix
  • ▪ Fine-tuning data export (LoRA/QLoRA)

Multimodal deep learning for price prediction

PyTorch FastAPI Next.js MongoDB

  • ▪ 1.48M Mercari listings, 0.420 RMSLE
  • ▪ Matches fine-tuned DistilBERT at 4.5x fewer params
  • ▪ BiLSTM + Attention + MLP fusion
  • ▪ Optuna tuning, SHAP, ONNX export
  • ▪ LLM listing critique · GCP Cloud Run + CI

Enterprise occupancy detection with multi-camera fusion

Python YOLO FastAPI Docker

  • ▪ Real-time person tracking & re-ID
  • ▪ Multi-camera deduplication
  • ▪ Motion blur & reflection filtering
  • ▪ Comprehensive analytics dashboard
  • ▪ Docker GPU support

Self-correcting RAG with multi-modal document processing

Python ChromaDB Next.js Ollama

  • ▪ Iterative hallucination detection
  • ▪ Hybrid search (BM25 + Dense vectors)
  • ▪ Legal/Financial/Technical handlers
  • ▪ Cross-encoder reranking
  • ▪ Streaming responses with logs

▸ Tech Arsenal

Languages

Frameworks

Infrastructure

ML

Cloud

By Category

┌──────────────────────────────────────────────────────────────────────────────┐
│  LANGUAGES        Go • Python • TypeScript • JavaScript • SQL • C++ • Java   │
├──────────────────────────────────────────────────────────────────────────────┤
│  ML / AI          LLMs • RAG • PyTorch • Scikit-learn • OpenCV • ONNX        │
│                   LangChain • Prompt Engineering                             │
├──────────────────────────────────────────────────────────────────────────────┤
│  FRAMEWORKS       Django/DRF • Celery • FastAPI • Next.js • React • gRPC     │
├──────────────────────────────────────────────────────────────────────────────┤
│  INFRASTRUCTURE   Docker • Kubernetes • PostgreSQL • MongoDB • ChromaDB      │
│                   Redis • Kafka • Prometheus                                 │
├──────────────────────────────────────────────────────────────────────────────┤
│  CLOUD & TOOLS    GCP • GKE • BigQuery • Git • GitHub Actions • Linux        │
└──────────────────────────────────────────────────────────────────────────────┘

▸ GitHub Analytics

GitHub Streak
Activity Graph

▸ Current Focus

Building Learning Open To
Go distributed systems & benchmarks Kubernetes operators & CRDs Backend / ML-systems roles (2027 grad)
LLM tool-use & eval pipelines GCP & cloud-native patterns Open source collaborations
Production ML systems Cloud-native architectures (GKE) Interesting challenges

Let's Connect

If you found my projects interesting, consider giving them a star


"First, solve the problem. Then, write the code." (John Johnson)

Pinned Loading

  1. Marketplace-Price-Prediction Marketplace-Price-Prediction Public

    Multimodal deep learning system for marketplace price prediction — BiLSTM + attention + fusion MLP trained on 1.48M listings. Full stack: PyTorch, FastAPI, Next.js, MongoDB, Docker.

    Python 2

  2. Distributed_Broker Distributed_Broker Public

    Production-ready distributed message broker with Raft consensus, partition sharding, and horizontal scalability. Built in Go with features comparable to Apache Kafka.

    Go 1

  3. Fleet-Vehicle-Gateway Fleet-Vehicle-Gateway Public

    Production-grade real-time fleet monitoring system with WebSocket streaming, multi-provider OAuth, geofencing, and AI-powered analytics. Built with FastAPI, Next.js, PostgreSQL, and deployed on GCP…

    Python 1

  4. RAG_CHATBOT RAG_CHATBOT Public

    Intelligent RAG system that auto-corrects hallucinations, processes multiple document types (PDF, images, legal, financial), and uses hybrid search for accurate question-answering.

    Python 1 1

  5. AI-occupancy-analytics AI-occupancy-analytics Public

    Real-time chair occupancy detection and analytics platform using YOLOv11 and DeepSort. Features multi-camera support, WebSocket streaming, and comprehensive analytics for workspace optimization.

    Python 1

  6. Driver-Scene Driver-Scene Public

    Automated VLM pipeline for structured driving scene descriptions from BDD100K images — 8 prompt variants, 8-metric evaluation, AI error analysis agent

    Python 1