Software / AI Engineer
SASHIKUMAR NEHRUMOHAN
Hey, I'm an AI and Software Engineer based in the United States. I completed my undergraduate degree in Computer Science and Engineering in India and earned my master's degree in Computer Science, with a focus on Artificial Intelligence, from the University at Buffalo.
I enjoy building practical AI systems, automating manual workflows, and creating useful software. Outside of tech, I love cinema. I'm currently looking for full-time Software and AI Engineering opportunities.
Chennai
Began B.E. in Computer Science & Engineering at Anna University.
Cognizant
Started as a Software Engineer, building ML inference systems for a major U.S. bank.
The Leap
Left home for the U.S. to pursue a Master's in AI/ML.
SUNY Buffalo
Graduated MS in Computer Science & Engineering, AI/ML, GPA 3.7.
Building
Shipping AI agents and production systems, open to full-time roles.
Work Experience
AI Engineer (Volunteer)
Rebecca Everlene Trust Company · Remote
- Architected an AI-agentic workflow orchestration platform (FastAPI, LangGraph, PostgreSQL-backed state) supporting 50+ volunteer programs and cutting manual coordination effort by 30%.
- Built a multi-channel agent orchestration platform with dynamic task routing and HITL approval workflows, reducing response time by 25% for 1,500+ volunteers across 5+ channels.
Software Engineer Intern
EVU · NY, USA
- Built an agentic RAG pipeline over real estate documents (LangGraph, tool-calling, schema-driven extraction) generating investment-ready reports and analysis dashboards, cutting review time from 4 hours to 1 hour.
- Improved RAGAS faithfulness scores by 20% through automated regression testing, output guardrails, HITL validation, and CI/CD quality gates.
- Engineered Dockerized FastAPI microservices with async task execution and PostgreSQL-backed workflow state, deployed on AWS.
- Accelerated investment decision-making by 50% via a distributed intelligence platform integrating REST APIs, document repositories, and planning/research/reporting services.
Software Engineer, AI/ML
Cognizant Technology Solutions · Chennai, India
- Built ML inference services for a major U.S. financial institution, accelerating lending decisions from 14 to 10 days across 10M+ records, using FastAPI, XGBoost, Docker, AWS EKS, and PySpark/Delta Lake.
- Engineered Kafka-driven real-time and batch risk-scoring pipelines processing 6,000 loan applications monthly.
- Cut manual model release effort by over 50% through automated MLOps: MLflow monitoring, CI/CD pipelines, and Kubernetes.
Projects
MindTrack AI
Tuned Voice Agent for Mental Health
Real-time voice AI platform for conversational mental health tracking, built with Whisper, a fine-tuned LLM, ElevenLabs, and structured memory, achieving sub-200ms time-to-first-token through streaming inference.
The Digital Jurist
Autonomous Legal Research Agent
End-to-end legal RAG pipeline with hybrid retrieval and re-ranking, reducing unsupported responses by 35% through RAGAS-based evaluation and automated quality testing with Prometheus monitoring.
BenchX
LLM Experiment Tracking & Comparison Platform
Configure a model + prompt + retrieval setup as an Experiment, run it against a fixed question set, then compare completed runs with paired significance testing (confidence intervals, Cohen's d, and FDR-corrected p-values), not just raw score deltas.
Prompt Me If You Can
Adversarial AI Security Game
Players try to break FinGuard, a read-only financial research assistant, past a layered defense pipeline: prompt-injection detection, hidden-prompt extraction guards, persona locks, topic-scope gating, and an independent LLM breach judge.
Resume
AI Engineer with 3+ years of experience building production-grade LLM systems, multi-agent orchestration pipelines, and ML infrastructure at scale, delivering measurable impact across document intelligence, fraud detection, and agentic workflows.
LLM & Agentic AI
RAG & Evaluation
ML & MLOps
Backend & Cloud
Full Resume
Education, full role history, and the complete skills list in one PDF.
Reach the Peak
Open to full-time AI Engineer and Software Engineer roles, and to collaboration at the intersection of software engineering and applied AI.