/dev/ - Manit Kumar

Systems Architecture • Edge AI & RAG • Distributed Concurrency • B.Tech CS @ GGSIPU

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/dev/ OP
Manit Kumar
B.Tech CS 9.0 CGPA
R: 8 / I: 2
Manit Kumar: Software & Systems
Undergrad at GGSIPU. High-concurrency backends, edge AI inference, Indian Army local RAG, competitive programming.
[EXPERIENCE]
Indian Army Intern
Delhi Cantt.
R: 2 / I: 0
Indian Army: Offline Local RAG
100% offline RAG with FAISS + HuggingFace. LangChain predictive maintenance bridge with Ollama/Gemini SITREPs for tanks.
FrameIQ thumbnail
R: 4 / I: 1
FrameIQ: Multimodal Video RAG
FastAPI, LanceDB, Groq Whisper API, Gemini Flash scene decomposition, FFmpeg on-the-fly thumbnails. Sub-ms cosine search.
[PROJECT]
ScaleGuard API
Redis Lua Rate Limiting
R: 3 / I: 0
ScaleGuard: Distributed API
Atomic Token Bucket with Redis Lua scripting, Nginx load balancing across replicas, JWT auth, Locust stress testing.
Tinyfah thumbnail
R: 3 / I: 1
1st Runner-Up AzinHack 2026
Tinyfah: Autonomous web vulnerability audit agent with LangGraph & TinyFish API against 345 OWASP ASVS v5.0.0 checks.
[DSA / CP]
LeetCode: 1815 Rating
486 Solved
R: 2 / I: 0
Competitive Programming
486 LeetCode problems (308 Medium, 45 Hard), 56 contests across LeetCode, Codeforces & AtCoder (927 Max).
[TECH STACK]
Python, C++, Docker,
Redis, FastApi, Neovim
R: 1 / I: 0
Technical Skills Matrix
Full breakdown of programming languages, backend frameworks, ML tooling, infra, databases, and dev workflows.
[EDUCATION]
GGSIPU Delhi
B.Tech CS (9.0 CGPA)
R: 1 / I: 0
GGSIPU B.Tech in CS
Bachelor of Technology in Computer Science, 9.0/10.0 CGPA. Operating Systems, Distributed Systems, Algorithms.
[OP] Manit Kumar - Software Engineer & Systems Architect OP !anonusetux ID: 0xM4N1T No. 4861810
File: resume.pdf (113 KB, 179 lines, LaTeX ATS-compliant) [View PDF] [View Source .tex]
> be me, 3rd year Computer Science undergrad at Guru Gobind Singh Indraprastha University (GGSIPU) > maintaining a 9.0 / 10.0 CGPA while shipping real-world systems > engineered 100% offline edge RAG & SITREP diagnostic pipelines as intern at Indian Army (Delhi Cantt.) > built FrameIQ: zero-copy multimodal Video-RAG search engine with LanceDB, Groq LPU & Gemini Flash > built ScaleGuard: distributed auth & atomic token-bucket rate limiter via Redis Lua scripting > secured 1st Runner-Up at AzinHack 2026 (2nd out of 250+ teams) building Tinyfah autonomous security agent > solved 486 DSA problems (308 Medium, 45 Hard) on LeetCode with 1815 Max Rating > daily driver: Linux, Neovim, Python, FastAPI, Docker, C++, Redis > ready to build resilient, ultra-fast software
Direct Comm Links & Verified Identifiers Available for Roles
Email: manit17102006@gmail.com Copied!
Phone: +91 8800-688-629 Copied!
Location: Delhi, India • Remote • Hybrid
Replies to this thread: >>4861811 (Army) >>4861812 (FrameIQ) >>4861813 (ScaleGuard) >>4861814 (Tinyfah) >>4861815 (DSA/CP) >>4861816 (Skills) >>4861817 (Education)
[EXPERIENCE] Indian Army Internship: Offline RAG & Edge Diagnostic SITREPs !anonusetux ID: 0xM4N1T No. 4861811
Delhi Cantt. June 2026 – August 2026 Role: Intern FAISS HuggingFace all-MiniLM-L6-v2 LangChain XGBoost / Random Forest Ollama / Gemini

>>4861810 (OP)

> stationed at Delhi Cantt. engineering division > mission: combat units in forward defense lines operate with zero external WAN connectivity > mechanics needed immediate semantic querying of hundreds of dense tank maintenance manuals > engineered 100% offline local RAG pipeline using FAISS vector indexing & HuggingFace all-MiniLM-L6-v2 embeddings > reduced diagnostic manual lookup time by 90% without risking any data leakage or network dependency > architected AI diagnostic pipeline via LangChain bridging edge-deployed predictive maintenance models (XGBoost & Random Forest) > integrated local LLMs (Gemini / Ollama) to translate raw mechanical sensor error codes into concise, plain-English Situation Reports (SITREPs) > operators received actionable maintenance directives in seconds instead of flipping pages under battlefield pressure
Referenced by: >>4861812 >>4861816
[PROJECT] FrameIQ: Multimodal Semantic Video Search Engine !anonusetux ID: 0xM4N1T No. 4861812
File: frameiq.png (984 KB, 1884x890, Multimodal Search Dashboard) [] [GitHub Repo]
FrameIQ Multimodal Search Engine Interface [Click to Expand]
FastAPI LanceDB Groq LPU (Whisper API) Gemini Flash FFmpeg Pydantic Sep. 2026

>>4861811

> problem: millions of short-form videos uploaded every hour with garbage titles, misleading tags, or zero captions > traditional keyword search completely fails to locate exact moments inside video files > built FrameIQ: cross-modal Video-RAG search engine for moment-level semantic retrieval > architected dual-stream ingestion pipeline: > Stream A: Groq Whisper API for high-speed audio tokenization and timestamp alignment > Stream B: Gemini Flash for visual scene decomposition, strictly validated with Pydantic schemas to prevent hallucinations > implemented zero-copy columnar indexing with LanceDB + Gemini multimodal embeddings > sub-millisecond cosine similarity search over vector stores > dynamic FFmpeg thumbnail generator creates precision preview frames at exact second marks
Referenced by: >>4861813
[PROJECT] ScaleGuard: Distributed Auth & Rate-Limiting API !anonusetux ID: 0xM4N1T No. 4861813
FastAPI Redis Lua Scripting PostgreSQL Nginx Docker Compose Locust Alembic Feb. 2026

>>4861812

> needed a battle-tested rate limiter and auth gateway that doesn't collapse under sudden traffic bursts > developed a distributed backend system using FastAPI and Nginx reverse proxy > scaled horizontal replicas behind round-robin load balancing to absorb high concurrency > engineered atomic Token Bucket Rate Limiter using custom Redis Lua scripting > executed atomic token refills and withdrawals directly in Redis memory to eliminate race conditions between cluster nodes > designed stateless JWT authentication pipeline with PostgreSQL and Alembic database migrations > fully containerized 4-service stack orchestrated via Docker Compose > stress-tested with Locust to simulate DDoS load spikes; verified zero request leakage beyond configured quotas
Referenced by: >>4861814
[ACHIEVEMENT] 1st Runner-Up @ AzinHack 2026 (Tinyfah) & GCP Diamond League !anonusetux ID: 0xM4N1T No. 4861814
File: tinyfah.png (204 KB, 1875x891, Autonomous Vulnerability Audit Dashboard) [] [GitHub] [Live Demo]
Tinyfah Autonomous Vulnerability Auditor Dashboard [Click to Expand]
1st Runner-Up (2nd / 250+ Teams) AzinHack 2026 USAR GGSIPU LangGraph TinyFish API OWASP ASVS v5.0.0 Oct. 2026

>>4861813

> entered 24-hour national hackathon AzinHack 2026 with 250+ teams across the country > built Tinyfah: an autonomous agent for web application vulnerability discovery and compliance auditing > engineered stateful agent orchestration using LangGraph cyclical graphs and TinyFish API > automated 345 distinct OWASP ASVS v5.0.0 (Application Security Verification Standard) checks > generated comprehensive security flaw matrices with automated reproduction steps > evaluated by industry judges; took 1st Runner-Up out of 250+ teams > > also ranked in Diamond League (3337+ points) on Google Cloud Skills Boost > earned production badges in Monitoring in Google Cloud, Cloud Speech API, App Engine, and Cloud Run Functions
Referenced by: >>4861815
[DSA/CP] Algorithmic Problem Solving & Contest Track Record !anonusetux ID: 0xM4N1T No. 4861815

>>4861814

> grinding algorithms since day one to master data structures, dynamic programming, and computational geometry > solved 486 DSA problems on LeetCode (308 Medium, 45 Hard) > achieved a Max Rating of 1815 on LeetCode > completed 56 rated algorithmic programming contests across platforms > Max Rating of 927 on AtCoder > competitive handle: anonusetux (anon use tux)
Platform Handle Problems Solved Max Rating Contests Verification Profile
LeetCode anonusetux 486 (308 Med • 45 Hard) 1815 Max 56 Contests codolio/anonusetux →
AtCoder anonusetux Contest Regular 927 Max Active Verified on Codolio →
Google Cloud Manit Kumar Hands-On Badges Diamond League 3337+ Pts Cloud Monitoring, Speech, Run
Referenced by: >>4861816
[SKILLS] Technical Competencies & Production Stack !anonusetux ID: 0xM4N1T No. 4861816

>>4861815

> zero fluff, strictly production-grade tools and systems I build with daily:
1. Programming Languages
Python (Expert) C / C++ SQL JavaScript Java Lua R Bash / Shell
2. Backend & Distributed Systems
FastAPI Flask Pydantic SQLAlchemy Alembic RESTful APIs Nginx Rate Limiting
3. Data Science & GenAI / ML
LangChain LangGraph HuggingFace FAISS NumPy Pandas Matplotlib Groq Whisper API Gemini Flash Ollama
4. Databases, Infrastructure & DevOps
PostgreSQL Redis (Lua scripting) LanceDB (Vector) Docker & Compose Git / GitHub Actions Locust Load Testing Linux Systems
5. Developer Environment & Cloud
Neovim (Primary IDE) Google Cloud Platform Cloud Run App Engine Postman FFmpeg LaTeX
Referenced by: >>4861817
[EDUCATION] Guru Gobind Singh Indraprastha University (GGSIPU) !anonusetux ID: 0xM4N1T No. 4861817

>>4861816

> Institution: Guru Gobind Singh Indraprastha University (GGSIPU), Delhi, India > Degree: Bachelor of Technology in Computer Science (B.Tech CS) > Academic Performance: 9.0 / 10.0 CGPA > Timeline: August 2024 – Present (Expected Graduation 2028) > Core Coursework: Data Structures & Algorithms, Database Systems, Computer Networks, Operating Systems, Theory of Computation, Discrete Mathematics > Currently seeking summer/fall software engineering, backend systems, and AI infrastructure internships & opportunities
Referenced by: >>4861818
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