About
I'm an AI Solutions Engineer focused on forward-deployed AI: working with stakeholders to turn ambiguous legal, engineering, operations, and vendor workflows into production systems and adoption-ready tools. My background spans enterprise AI, retrieval and agentic workflows, computer vision, and robotics.
Experience
NBCUniversal
AI Solutions Engineer - Orlando, FL - Mar 2025 - Present
Stakeholder-facing AI solutions engineering across legal, engineering, operations, and vendor teams, translating ambiguous workflows into production systems and adoption-ready tools.
- Reduced first-draft contract generation from approximately two weeks to under 48 hours and cut 2-3 revision cycles by building a Python and Flask LLM platform with RAG, vector search, two-agent workflows, and human approval.
- Supported 3,200+ configurable contract permutations and 100% citation coverage by replacing legacy macro templates and indexing 5,000+ pages into a secure OpenAI-style file-search system.
- Integrated a team-built anti-hallucination and citation-validation layer, keeping suggested edits within a 2-3% review-error range while final changes remained user-approved.
- Led delivery of a centralized Legal and Vendor Contract Lifecycle Platform spanning 10,000+ documents and architected 13+ agents for legal, vendor, policy, proposal, and template workflows.
- Led validation and rollout of a vendor-delivered LiDAR vision safety system, reaching 98% monitoring accuracy and reducing false-positive ride stops from 15-20 per day to at most one per day.
PowerSolv Inc
AI Software Developer - Reston, VA - Jun 2024 - Feb 2025
Developed AI interview-assistant capabilities using fine-tuned language models, NLP pipelines, and semantic scoring.
- Built answer evaluation and interview-assistance workflows using fine-tuned LLaMA-3 and Hugging Face Transformers.
- Used PyTorch, TensorFlow, LangChain, spaCy, NLTK, and Azure Cognitive Services across NLP and evaluation flows.
- Worked with more than 20,000 job descriptions and interview transcripts.
- Reached 90% answer evaluation accuracy in resume-provided work.
Starkenn Technologies
Machine Learning Engineer - Pune, India - Feb 2022 - July 2022
Worked on advanced driver assistance and safety systems for forklifts, including perception and operator monitoring.
- Engineered and deployed an ADAS electronic braking system for forklifts that reduced related workplace incidents by 95%.
- Worked on facial recognition and gaze tracking for safety-aware operation.
- Supported large-scale data collection efforts across autonomous driving and urban AI contexts.
- Handled resume-noted data scale of 200 TB across collection and AI workflow support.
Aker Solutions
Robotics Engineer - Pune, India - Sep 2020 - Dec 2021
Worked across underwater robotics, ROV manipulators, sensor feedback, and inspection-support workflows.
- Worked on ROV manipulator and underwater maintenance systems.
- Applied real-time sensor feedback patterns for control and navigation workflows.
- Initiated deep-learning real-time crack detection for underwater structures, achieving 91% precision.
- Collaborated across mechanical, controls, software, and operations contexts.