Available for full-time roles
Yashwant
Bitra
I build AI systems that actually ship.
MS Computer Science · Binghamton University · Open to opportunities across the U.S.
01. About
A bit about me
I'm a Computer Science graduate (MS + BS, Binghamton University) specializing in AI/ML engineering and production system design. My work lives at the intersection of large language models, agentic systems, and real-world infrastructure.
Currently building a production agentic AI platform with 49+ live business tools and a GRC compliance data pipeline serving regulatory frameworks like CMMC, FedRAMP, and HIPAA — both at production scale with full MLOps observability.
Outside of engineering, I'm a competitive chess player and an avid music listener. Currently based in the U.S. and open to full-time opportunities anywhere — on-site, hybrid, or remote.
02. Experience
Where I've Worked
Teaching Assistant & Research Assistant
State University of New York at Binghamton · School of Computing
Binghamton, NY
- ▸Mentored 40+ students in full-stack development (React.js, TypeScript, MongoDB); drove 10+ team capstone projects from requirements through production deployment.
- ▸Automated project grading infrastructure via custom GradeScope scripts, cutting review time by 15 min/submission across 40+ students.
- ▸Researched LLM architectures, RAG systems, and agentic AI frameworks; applied findings to independent production AI system development.
Software Developer / Machine Learning Engineer Intern
CoreCard Software, Inc.
Atlanta, GA
- ▸Shipped a production real-time fraud detection REST API (XGBoost, Random Forest, SMOTE) achieving 85% accuracy and cutting fraud 25% across 1M+ transactions.
- ▸Delivered an interactive 3D analytics dashboard (D3.js + Plotly) that saved 10 min/session per client and directly informed a $500K+ strategic decision.
03. Projects
Things I've Built
ST Intelligent Assistant: Production Agentic AI Platform
Jan 2026 – Present
- ▸Building a production agentic AI system with dual architectures (custom ReAct + LangGraph) enabling natural language access to 49+ live business tools via Model Context Protocol (MCP).
- ▸Implemented RAG-based semantic tool routing (ChromaDB + nomic-embed-text embeddings) dynamically selecting from 49 tools — zero manual mapping, zero-setup onboarding for new tools.
- ▸Architected a model-agnostic inference layer (Groq, Ollama, vLLM, any OpenAI-compatible API) with PII guardrails, Guardrails AI output validation, and OWASP Top 10 for LLM compliance.
- ▸Built full MLOps observability with Langfuse (traces, latency, token/cost) and CI/CD evaluation pipelines with promptfoo and DeepEval tracking tool selection accuracy and hallucination rates.
GRC Compliance Data Ingestion Platform
Jan 2026 – Present
- ▸Engineered ETL pipelines for 6 regulatory compliance frameworks (CMMC L1/L2/L3, HIPAA, FedRAMP, HITRUST-CSF, DORA, CRI Profile) into a unified AWS RDS PostgreSQL production database.
- ▸Designed content-aware versioning — auto-increments version only on data change, preventing duplicate writes and maintaining integrity across 20+ frameworks.
- ▸Normalized heterogeneous sources (Excel, PDF, HTML, live REST APIs) into a single JSONB schema supporting compliance trees up to 4 levels deep.
- ▸Intercepted 25,000+ HTTP/HTTPS flows from a live iOS device via mitmproxy; stored in LUKS-encrypted volumes.
- ▸Trained a deep autoencoder on 21,993 network flows for unsupervised anomaly detection — cut false positives from 1,100 to 103 (90% reduction).
- ▸Shipped a Streamlit real-time monitoring dashboard replacing manual log triage.
- ▸Ingested 100K+ posts across Reddit, 4chan, and YouTube to power cross-platform toxicity and trend analysis.
- ▸Built a RAG-powered chatbot (LangChain + MongoDB) for natural language querying over 100K+ documents; integrated Hugging Face classifiers at 90% toxicity detection accuracy.
- ▸Simulated full offensive Evil Twin attack lifecycle — rogue AP creation via airbase-ng, captive portal phishing server, and credential harvesting across two USB Wi-Fi adapters.
- ▸Built BSSID-monitoring detection tool and SSID-verification prevention tool; documented deception strategies for gathering attacker intelligence post-compromise.
- ▸Designed an AI-driven urban traffic control system leveraging city-wide cameras and real-time congestion analysis to dynamically adjust signal timing patterns.
- ▸Architected IoT sensor integration layer and civilian reporting interface enabling community-driven incident feedback; projected to cut average intersection wait times significantly.
- ▸Shipped production fraud detection REST API (XGBoost + Random Forest with SMOTE oversampling) achieving 85% accuracy across 1M+ transactions.
- ▸Built automated multi-classifier training pipeline with scikit-learn, logging performance metrics across estimators to select the optimal production model.
- ▸Built an interactive 3D analytics dashboard (D3.js + Plotly/Dash) for credit card transaction data, optimized for 50+ daily API calls and reducing analysis time by 30%.
- ▸Delivered actionable insights that directly informed a $1M+ strategic business decision at CoreCard.
04. Skills
Technical Toolkit
Languages
AI/ML & GenAI
MLOps & Evaluation
Cloud & Infrastructure
Databases
Certifications
05. Education & Leadership
Background
Master of Science in Computer Science
Artificial Intelligence Track
State University of New York at Binghamton
Bachelor of Science in Computer Science
State University of New York at Binghamton
Leadership
Vice President
Theta Tau Engineering Fraternity
- ▸Led chapter-wide organizational planning, facilitated leadership meetings, tracked action items, and managed competing stakeholder priorities across concurrent chapter initiatives.
- ▸Served as primary liaison between chapter leadership and membership, resolving conflicts, communicating decisions, and maintaining alignment on chapter goals.
06. Contact
Get In Touch
I'm currently open to full-time opportunities in AI/ML engineering, full-stack development, and data engineering. If you have a role in mind or just want to talk tech, I'd love to hear from you.
yashubitra@gmail.com
linkedin.com/in/yashwant-bitra
GitHub
github.com/yashzord
Location
Open to U.S. Opportunities