Open to SWE & Data Science Roles

Hi, I'm
Shashank

Final-year Computer Science (AI) student specializing in High-Performance Systems, Applied AI, and Scalable Backend Infrastructure.

SS

Shashank Singh

B.Tech CSE (Artificial Intelligence)

6+
Top Projects
3
Credentials
AI
Specialization
C++17PythonFastAPILangGraphDockerAWS

Professional Summary

I am a final-year computer science (AI) student at the University of Lucknow, specializing in high-performance systems engineering, distributed architectures, and applied artificial intelligence.

My technical expertise centers on backend infrastructure, distributed systems, and deploying machine learning models to production. I build secure, performant APIs utilizing FastAPI, Docker, and AWS.

I've built complex, end-to-end systems ranging from low-latency packet inspection engines in modern C++ to advanced RAG pipelines leveraging Ollama, Gemini, LangChain, and ChromaDB.

Certifications & Training

Samsung Innovation Campus

Artificial Intelligence Certificate

NIELIT, Gorakhpur

Industrial Training in Data Science & ML

AWS Academy

Fundamentals of ML & AI

Technical Arsenal

Languages

PythonC++TypeScriptSQL

AI & Machine Learning

PyTorchScikit-learnXGBoostLangChainLangGraphHugging FaceChromaDBQdrantOllamaFaster-WhisperOpenCV

Systems & Backend

C++17MultithreadingFastAPIFlaskREST APIsPostgreSQLSupabase

Cloud & DevOps

DockerAWSCI/CDGitHub ActionsNginx

Architecture & Security

MicroservicesDistributed SystemsTCP/UDPTLS/SNICryptography (RSA/AES)Zero-Trust

Frontend & Data

Next.jsReactTailwind CSSPandasNumPy

Featured Projects

DPI Engine - Deep Packet Inspection

High-performance C++17 inspection engine that dissects PCAP captures, reconstructs TCP/UDP flows, classifies traffic via TLS SNI and HTTP Host headers, and enforces configurable blocking rules.

C++17libpcapTLS/SNIMultithreading

Your Own AI - Vector Database

Multi-algorithm vector database supporting HNSW, KD-Tree, and brute-force search, paired with Ollama-backed local RAG, REST API endpoints, automated benchmarks, and 2D PCA visualization.

C++HNSWKD-TreeRAGOllama

UPI Mesh - Offline-First Payments

Connectivity-resilient FastAPI backend powering UPI-style transactions with hybrid RSA-2048/AES-256-GCM cryptography, simulated Bluetooth mesh relay, and ciphertext-hash idempotency.

PythonFastAPIRSA-2048AES-256-GCM

Restaurant Agent

Conversational AI ordering system built on LangGraph and Gemini, featuring Pydantic tool calling, multi-turn memory persistence, and responsive Streamlit interface.

LangGraphGeminiFastAPIPydanticStreamlit

YouTube Scrapper - Multi-Playlist RAG

Playlist-aware RAG pipeline that transcribes YouTube videos via Faster-Whisper, indexes content with BAAI/bge-m3 embeddings in Qdrant, and returns timestamp-grounded answers.

RAGQdrantFaster-WhisperPython

Code Sentinel

Evidence-driven integrity triage system for coding assessments, combining MOSS-style fingerprinting with Groq LLM investigation and interactive Streamlit dashboards.

PythonStreamlitGroq LLMMOSSPytestMypy

Work Experience

Python & Data Science Trainee

Jun 2025 – Jul 2025

NIELIT, Gorakhpur (Government of India) · Remote

  • Mastered data science fundamentals through a comprehensive government-certified program covering Python, Pandas, NumPy, Matplotlib, SQLite, and Machine Learning algorithms.
  • Built an end-to-end House Price Predictor with dual machine learning models (Random Forest and Linear Regression) trained on 76,000+ property records.
  • Designed an interactive Streamlit web application and a Tkinter desktop GUI to serve predictions, with SQLite integrated to persistently log user queries.
PythonScikit-learnStreamlitTkinterSQLite

Contact

Get in touch

I am actively pursuing software engineering and data science opportunities, research collaborations, and impactful AI/ML projects.