Tejas Adhikari
Software Engineer II @ Microsoft
About
I'm a Software Engineer graduating from Northeastern University's MS in Computer Science program (4.0 GPA) in May 2026.Most recently, I architected AI agent workflows at First Help Financial that reduced document processing time by 96% (14 hours → 30 minutes) for 1000+ monthly documents, earning CEO recognition for "moving AI from concept to reality." I led the technical evaluation between Pydantic AI and LangGraph, designed a fault-tolerant agentic framework adopted company-wide, and deployed 3 production AI systems using GPT-4 Vision API with 90-95% accuracy.Before grad school, I spent 2 years as a Software Engineer at Morgan Stanley, where I automated virtualization operations across 50,000+ VMs, saved $2.5M in infrastructure costs, and reduced incident resolution time by 99% (8 hours → 5 minutes). I also built a time-series ML model for capacity forecasting and led the VSI Rebalance Project.I specialize in AI/ML engineering (LangGraph, Pydantic AI, OpenAI API, agentic workflows), full-stack development (React, Node.js, Flask, Python), and cloud infrastructure (AWS, Docker, Kubernetes). I've built production systems that combine AI agents with robust testing, deployment pipelines, and database integration.What I bring: Technical depth in AI agents and MLOps, experience deploying to production with real business impact, and a track record of going from supervised intern to independent engineer who makes architectural decisions.Let's connect if you're building AI-powered products or want to chat about agentic AI workflows!
United States
Greater Seattle Area
Computer Software
MLOps, AI Agents, Agentic AI Development, ChromaDB, Streamlit, Amazon Web Services (AWS), Docker, PostgreSQL, Prompt Engineering, Kubernetes, Cloud Computing, Large Language Models (LLM), Docker Products, Front-End Development, Algorithms, Flask, TensorFlow, R (Programming Language), JavaScript, Pandas (Software)
Experience
Software Engineer II
Microsoft
Redmond, WA
Software Engineer Intern
First Help Financial
Boston, MA
Reduced manual document processing by 70% across 1000+ monthly documents by architecting 3 production AI workflows using GPT-4.1 Vision API with multi-stage extraction and AWS/Oracle DB integration. Drove AI architecture adoption across 5+ workflows by leading technical research (Pydantic AI vs LangGraph), designing fault-tolerant framework with checkpoint/recovery and circuit breakers, and mentoring 2 engineers on implementation. Optimized AI token costs by 70% while improving accuracy by 20% by evaluating multiple models (GPT-4.1, Gemini, Mistral) and optimizing image preprocessing with iterative processing strategies. Maintained 100% production uptime by building 71+ pytest test cases executing in less than 20s with mocked dependencies and resolving critical issues including CRON failures, AWS SES bugs, and legacy codebase defects.
Software Engineer II | Infra, Automation, Software Development, ML
Morgan Stanley
Bengaluru
Streamlined virtualization workload by 70% across 50,000+ VMs by automating manual tasks (VM migration, monitoring, rebalancing) using Python, microservices and Treadmill Scheduler on private cloud infrastructure. Saved $2.5 million in infrastructure costs by taking ownership of VSI Rebalance Project and developing automation solutions for cluster load balancing using Pandas for data analytics and optimized resource allocation. Developed adaptive chatbot using OpenAI transformers by collaborating with ETS team in Generative AI hackathon. Accelerated incident resolution time by 99% from 8 hours to 5 minutes by automating ServiceNow ticket processing and recurring operational tasks with Python scripts. Implemented Agile methodologies(Jira, Kanban), Version Control, Jenkins CI/CD pipelines ensuring Software development lifecycle (SDLC) adherence, automating build and testing processes to improve deployment efficiency. In a 4-month intensive Computer Science course, I developed strong technical skills by developing real-world projects in a fast-paced financial environment.
Software Engineer Intern (Technology Analyst)
Morgan Stanley
India
Incorporated a data-driven approach to perform virtualization operations on over 50,000 VMs. Automated data analysis on virtualization data from the cloud reducing processing time from 24 hrs to 10 minutes. Implemented Machine Learning models on historical data of VM utilization to get a 9 month capacity prediction.
Education
Northeastern University
Computer Science
Courses Taken: Algorithm Web Development Programming Design Paradigm Database Management System Cloud Computing Scalable Distributed Systems Machine Learning Operations (MLOPs) Computer-Human Interaction
Veermata Jijabai Technological Institute (VJTI)
Electrical, Electronics and Communications Engineering
Thakur College of Science & Commerce
HSC
Rbk Global School - India
ICSE
Tejas Adhikari's Contact Information
Phone
Find the Right Leads
Find Verified Contact Data
What LeadContact does well
Find verified emails, phone numbers, and decision-makers with 98% accuracy.
Find Leads
Find the right people by company, role, industry, location, and more.
925M+ professional profiles
Find Emails
Access verified email addresses for your target contacts.
657M+ emails
Find Phone Numbers
Get cross-validated phone data from multiple top sources.
239M+ phone numbers
More Accurate. Lower Cost.
Find contact data in 1 tool with 98% accuracy
LeadContact integrates leading enrichment tools to deliver more accurate contact data—without paying for each one.
Great conversations start with the right contact.
It’s time to find yours.