AI/ML engineer · MS Computer Science at Northeastern
Graduating Fall 2026 · Seeking full-time AI and software engineering roles
ABOUT
I'm a Computer Science master's student at Northeastern, graduating in Fall 2026. I focus on machine learning, generative AI, and MLOps, building systems from LLM and RAG pipelines to full-stack web apps. My work spans published research on prompt optimization and hands-on engineering across data, models, and infrastructure. I care about systems that are fast, measurable, and reliable under load.
I'm currently an AI Instructional Assistant at Northeastern's CATLR, working with four faculty directors on AI in teaching and assessment.
Northeastern University
MS, Computer Science
GPA 3.85 / 4.0 · Boston, MA
GITAM University
BTech, Computer Science & Engineering
GPA 3.80 / 4.0 · Visakhapatnam, India
- /AWS Certified AI Practitioner
- /Machine Learning with Python,IBM
- /Text Retrieval & Search Engines,UIUC
EXPERIENCE
AI Instructional Assistant
- /Partnering with 4 faculty directors across Khoury College of Computer Sciences and the College of Social Sciences and Humanities on AI in course design and assessment, bringing LLM evaluation experience and the student perspective into those decisions.
- /Built and tested an Assignment Redesign Studio in Claude that identifies where GenAI can bypass the thinking an assignment is meant to develop, then suggests checkpoints, reasoning tasks, reflection, and clear AI-use boundaries.
- /Serving as an AI consultant and insight provider, testing emerging models and tools hands-on and translating their capabilities, failure modes, and limitations into practical recommendations for faculty.
AI Software Developer Intern
Aosenuma · Boston, MA
- /Built and deployed an LLM observability platform across 3 production AI applications, bringing latency, token costs, errors, and evaluation results into 6 shared Grafana dashboards so teams could monitor application health and LLM quality together.
- /Cut case-classification p95 latency by 26%, from 4.74s to 3.53s, by restructuring the prompt into an ordered decision checklist. Accuracy also improved slightly on the same 150-case evaluation set.
- /Built automated evaluations for classification, document drafting, and RAG, establishing a 91.2% classification baseline on 68 human-verified cases. Added CI gates for classification and drafting to block changes that failed quality thresholds.
- /Fixed access controls in a multi-region case management system, allowing supervisors to see all assigned municipalities instead of only their first. Added 48 targeted access-filter tests to check that broader visibility did not expose confidential records to unauthorized users.
Research Assistant — Generative AI
InsightX Research Lab · Northeastern University
- /Built a fine-tuning-free prompt optimization system with DSPy and GPT-4o-mini to generate counter-narratives against online hate speech; ranked 3rd at LT-EDI@ACL 2026, with paper published at ACL Anthology.
- /Designed a 16-metric reward framework across 6 categories and integrated Detoxify, RoBERTa-MNLI, SBERT, BERTScore, and GPT-2 for automated, consistent counter-speech quality assessment.
- /Ran iterative Llama-3.1-8B prompt optimization experiments on Northeastern's Discovery HPC cluster (A100/V100 GPUs).
- /Benchmarked counter-narratives against Multitarget-CONAN using the NAACL 2024 LLM-CN-Eval framework and GPT-4o-as-a-judge across 8K+ hate-speech/CN pairs.
ML & Data Science Intern
Fluentgrid Limited · Visakhapatnam, India
- /Engineered an NLP chatbot with TensorFlow/Keras and NLTK, training a neural network across 35+ intent categories with 150+ patterns for partner detection and lead capture.
- /Automated data preparation with Tabula-py and pdfplumber to parse multi-section regulatory PDFs, cutting manual processing time by 60%.
FROM PEOPLE I'VE WORKED WITH
“Any team would be lucky to have him and highly recommend him!”
“What sets Bhanu apart is his analytical maturity; when confronted with novel open-ended problems, he meticulously evaluates both the theoretical undertones and the practical execution constraints before engineering a solution.
Bhanu is a highly resourceful and reflexive researcher who actively seeks out intellectual feedback to refine his methodologies.”
Associate Teaching Professor, Khoury College of Computer Sciences
Northeastern University
My research supervisor · InsightX Research Lab
Excerpt from a recommendation letter
SKILLS
PROJECTS
AutoMend
Incident response platform that detects ML infrastructure failures and runs approved remediation workflows.
Intelligent Traffic Management System
YOLOv7 traffic controller that changes lane timers from live vehicle density and emergency detection.
GUARD-RAG
Financial QA system that sends only risky questions into debate and improves TAT-QA F1 by 12.1%.
Kambaz LMS
Canvas-style LMS with role-based access, quizzes, enrollments, and 43 REST endpoints.
Store Sales Forecasting
Retail sales forecasting on 3M+ rows using lag features, rolling windows, and boosted trees.
Calendar Application
Java calendar app with time zones, recurrence, conflict detection, CSV import, and 100+ tests.
HACKATHONS
Husky Navigator
Northeastern student agent that turns a messy question into the right office, clear next steps, and a month-by-month plan grounded in official university sources.
OUTSIDE AI
Formula 1
I co-founded the Formula 1 club at my undergrad college back in INDIA. We started with 20 members. Between spreading the word, sim racing sessions, and live race screenings, the club has grown to 200.
I'm a huge Red Bull and Max Verstappen fan. I like Lewis Hamilton too, so race weekends are my sober high days.
A solo trip to the US Open
I love watching tennis,I got a little lucky this year, I went solo to New York for the 2026 US Open. I got a selfie with Alexander Zverev, little did I know that he would go on to win the title. Maybe I can be your team's lucky charm too.
A few shots I am proud of.
WANT THE DETAILS?
Download my résumé for the full breakdown of experience and projects.