AG / PORTFOLIO
HOM-00SHEET 00 / 08
OPERATOR_ROLE

Anish
Guntreddi.

building intelligent systems that actually ship.

Software engineer and ML researcher shipping full-stack web and mobile products, ML and data-science systems, and research across agentic AI, computer vision, and quantitative finance — often at the intersection of healthcare and machine learning.

View Work
EXP · SHEET 0101 / 08

Where I've shipped.

Industry experience and academic research across AI, quantitative finance, and full-stack systems. Two clusters below: industry assignments and research appointments.

EXP.A
N=3

Full-time, internship, and contract engineering across enterprise AI, algorithmic trading, and full-stack product.

IND-001·JUNE 2025 – AUGUST 2025
REV.A

Walmart Global Tech

Software Engineering Intern (Agentic AI)

Top-10 hackathon finalist, 30-50% reduction in manual reporting, 40% productivity boost

  • Designed modular AI agent architectures using LangChain and LangGraph with vector database-backed retrieval and contextual memory
  • Built full-stack AI systems with React.js front ends and FastAPI back ends, integrating REST and WebSocket APIs
  • Engineered scalable NLP, SQL automation, and workflow agents leveraging transformer-based embeddings
IND-002·JUNE 2024 – AUGUST 2024
REV.A

DUCAB (Dubai Cable Company)

Software Engineering Intern (Data Science & Algorithmic Trading)

60% reduction in manual processing, 20% improved trading efficiency

  • Built enterprise automation solutions using Python and RPA integrated with Excel/VBA and SAP
  • Created sales order pipeline that reduced manual processing effort by 60%
  • Designed automated stop-loss trading system for the London Metal Exchange via FIX API
IND-003·AUGUST 2023 – DECEMBER 2023
REV.A

AVAS Technology

Software Development Intern

Streamlined faculty and student administration workflows

  • Developed and maintained a full-stack web application using PHP, Laravel, MariaDB, and JUnit
  • Implemented robust unit testing to ensure code reliability and scalability
  • Led backend migration and API development, improving database integration and performance
EXP.B
N=5

Academic and applied research in clinical ML, software methodology, and entrepreneurial ventures through Synaptix Lab.

RES-001·AUGUST 2025 – PRESENT
REV.A

RCSI School of Postgraduate Studies

Machine Learning Engineer

Advancing diabetic retinopathy detection

  • Conducted ML research for ophthalmic image analysis, developing computer vision models
  • Built end-to-end image processing and model training pipelines with data augmentation
  • Collaborated with clinicians to validate model outputs against medical ground truth
RES-002·APRIL 2025 – AUGUST 2025
REV.A

University of Miami Mathematical Finance Lab

Summer ML Researcher (University-Funded Grant)

Improved predictive reliability and Sharpe ratios across stable and high-volatility environments

  • Architected AI-powered DeFi trading framework bridging deep learning with quantitative finance
  • Designed regime-aware Transformer with token embeddings for dynamic market adaptation
  • Integrated volatility layers using GARCH/EGARCH, HMMs, and Monte Carlo simulations
RES-003·MARCH 2025 – PRESENT
REV.A

University of Miami Orthopedics Research Lab

Undergraduate Research ML Engineer

Real-time proof-of-concept for intelligent rehabilitation devices

  • Developed ML-driven rehabilitation applications at the intersection of machine learning and software engineering
  • Designed PyTorch-based CNN for swallow and breathing EMG signal classification
  • Built custom NumPy/pandas pipelines for denoising, segmentation, and feature extraction
RES-004·MARCH 2025 – PRESENT
REV.A

University of Miami

Undergraduate Research Software Engineer

20%+ increase in patient participation and accelerated recovery outcomes

  • Engineered Kotlin mobile application that gamified physical therapy sessions
  • Synchronized with rehabilitation machines over Bluetooth for real-time feedback
  • Captured diagnostic performance metrics: session adherence, movement accuracy, recovery progression
RES-005·MARCH 2025 – PRESENT
REV.A

Synaptix (Research Lab acquired by University of Miami)

Co-Founder & Founding Engineer

Technology acquired by University of Miami for continued rehabilitation research

  • Owned and built entire software and ML architecture behind intelligent, adaptive rehabilitation platform
  • Architected end-to-end stack: EMG data ingestion, signal preprocessing, feature extraction, and ML inference
  • Designed models interpreting muscle activation patterns to classify patient effort and therapy needs
PRJ · SHEET 0202 / 08

Project portfolios.

Two interactive project surfaces — one for ML, one for quant finance — each a deep dive with live demos, benchmarks, and system breakdowns.

PRJ-001·ML · AI
REV.A

Machine Learning Portfolio

Interactive deep dives into computer vision, NLP, clinical ML, and agentic AI — with live demos, architecture breakdowns, and results.

DOMAIN
ML · CV · NLP · AGENTS
RUNTIME
STREAMLIT · PY
STATUS
LIVE
PyTorchTransformersLangGraphOpenCVFastAPI
Open Portfolio──▶
PRJ-002·QUANT · HFT
REV.A

Quant Finance Portfolio

Quantitative research, HFT systems, execution algorithms, and trading strategies — with performance metrics, backtests, and architecture.

DOMAIN
QUANT · HFT · EXEC
RUNTIME
STREAMLIT · PY
STATUS
LIVE
NumPypandasGARCHHMMMonte Carlo
Open Portfolio──▶
SKL · SHEET 0303 / 08

Parts inventory.

A working inventory of languages, frameworks, and tooling — 51 parts across 6 bins. Hover a chip to inspect; everything here has been shipped to production or used in a research artifact.

SKL-A·N=9
REV.A

Languages

BIN A
PythonTypeScriptJavaScriptJavaKotlinC/C++SQLPHPR
SKL-B·N=11
REV.A

AI / ML

BIN B
PyTorchTensorFlowLangChainLangGraphTransformersComputer VisionCNNsNLPGARCH/EGARCHHMMsMonte Carlo
SKL-C·N=7
REV.A

Frameworks

BIN C
React.jsNext.jsFastAPINode.jsLaravelExpressFlask
SKL-D·N=8
REV.A

Cloud & DevOps

BIN D
DockerAWSGCPVercelNetlifyRenderCI/CDGit
SKL-E·N=8
REV.A

Data & Databases

BIN E
PostgreSQLSupabaseMongoDBMariaDBChromaRedisNumPypandas
SKL-F·N=8
REV.A

Domains

BIN F
Agentic AIComputer VisionQuantitative FinanceAlgorithmic TradingMedical ImagingSignal ProcessingEmbedded SystemsFull-Stack Development
EDU · SHEET 0404 / 08

Academic record.

Triple major at the intersection of computer science, mathematics, and AI. Coursework focused on systems, learning theory, and quantitative methods.

EDU-001·UNIVERSITY OF MIAMI
REV.A

University of Miami

Coral Gables, FL · EXPECTED MAY 2026

  • 01.B.S./M.S. Computer Science
  • 02.B.S. Mathematics
  • 03.B.S. Data Science and Artificial Intelligence
RELEVANT COURSEWORKN=10
Data Structures & AlgorithmsMachine LearningDeep LearningDatabase SystemsSoftware EngineeringOperating SystemsComputer NetworksFinancial MarketsQuantitative FinanceStatistical Methods
HBY · SHEET 0505 / 08

Off duty.

What I do when I'm not shipping code or training models — rendered as technical diagrams, because of course.

HBY-001·WEIGHTLIFTING
REV.A

Weightlifting

I got into weightlifting when I was 18 to balance out my life with a good healthy habit on top of going to classes and working on projects.

FIG · HBY-001SCALE 1:1
220cm · 2.2m45lb × 2 + BAR
HBY-002·GAMING
REV.A

Gaming

I have been gaming since I was 7 years old and continue to try new games every day. My favorite genres are action, horror, sports, and indie.

FIG · HBY-002SCALE 1:1
HID · GAMEPAD · 4 AXIS · 14 BTN
HBY-003·TENNIS
REV.A

Tennis

I have been playing tennis since I was 9 years old and was a varsity athlete in high school.

FIG · HBY-003SCALE 1:1
STR PAT 16×19
HBY-004·FOOTBALL
REV.A

Football

Love to play football for fun with my friends.

FIG · HBY-004SCALE 1:1
Ø 220mm · SIZE 5
HBY-005·BASKETBALL
REV.A

Basketball

Started playing a lot more recently with my friends.

FIG · HBY-005SCALE 1:1
Ø 240mm · SIZE 7
HBY-006·COOKING
REV.A

Cooking

Got into cooking the same time as weightlifting to begin meal prepping after workouts.

FIG · HBY-006SCALE 1:1
CAPACITY 3.5L · STAINLESS
HBY-007·HANGING WITH FRIENDS
REV.A

Hanging with Friends

Love to try new activities with my friends.

FIG · HBY-007SCALE 1:1
K5 · COMPLETE GRAPH · N=5
TRM · SHEET 0606 / 08

Interactive shell.

A live REPL with the same data this page is built from. Type `help` for commands, `tree` for structure, `whoami` for the fast version.

anish@portfolio:~PTY · 80×24
anish@dev ~ terminal
Welcome! Type 'help' to see available commands.
anish@dev ❯
CTC · SHEET 0707 / 08

Open channels.

Pick a wire. All three go to me — email for real-time, GitHub for code, LinkedIn for the rest. The composer below hits my inbox directly.

CTC-001·EMAIL
REV.A
↗ OPEN
EMAIL
anish.guntreddi@gmail.com
CTC-002·GITHUB
REV.A
↗ OPEN
GITHUB
github.com/anishguntreddi
CTC-003·LINKEDIN
REV.A
↗ OPEN
LINKEDIN
linkedin.com/in/anishguntreddi
CTC-FORM·MESSAGE COMPOSER
REV.A
NAMEREQUIRED
COMPANY
TYPE
SUBJECTREQUIRED
MESSAGEREQUIRED
TX · ENCRYPTED · RESEND